Circuit Reduction Techniques

Size: px
Start display at page:

Download "Circuit Reduction Techniques"

Transcription

1 Crcut Reducton Technques Comnaton of KVLs, KCLs, and characterstcs equatons result n a set of lnear equatons for the crcut arales. Whle the aoe set of equaton s complete and contans all necessary nformaton, een small crcuts requre a large numer of smultaneous equatons to e soled as seen preously. We learned that we can use characterstcs equatons when we are markng the crcut arales and reduce the numer of equatons to e soled to only numer of KCLs and KVLs. We wll learn later two methods, nodeoltage and meshcurrent, whch reduce the numer of equatons to e soled further to ether numer of KCLs or numer of KVLs. Ths s the est we can do n ths drecton. As t s easer to sole smaller sets of equatons (e.g., t s easer to sole two sets of two equatons n two unknown as compared to a set of 4 equatons n 4 unknowns), one can reak up the crcut nto smaller peces and sole each nddually and assemle ack the whole crcut. We can use ths prncple to comne crcut elements and make a much smaller crcut. These technques are descred elow. Recall that we are usng lumped crcut elements,.e., crcut elements communcate to outsde world and other crcut elements only through and. Conersely, the outsde world (the rest of the crcut) communcate wth the crcut element through and. Ths means, for example, that a resstor n a crcut s ewed y the rest of the crcut as a lack ox wth an characterstcs of = R. The rest of the crcut does not know what s nsde the ox. In fact, we can replace the resstor wth any lack ox (contanng whateer) wth the same characterstcs of = R and the rest of the crcut ehaes exactly the same. Alternately, f a lack ox contanng many crcut elements s attached to a crcut and has an characterstcs of =5, we can replace ths lack ox wth a 5 Ω resstor wth no change n the crcut ehaor. Rest of the crcut Rest of the crcut Sucrcut A ox contann some elements Equalent Sucrcut Ths oseraton allows the crcut to e dded nto two or many parts and each soled ndependently. We defne a ox contanng seeral element a sucrcut or a dece. T he aoe fgure shows a twotermnal dece or sucrcut. Note that n many crcut theory text ook (ncludng our textook) crcut and sucrcut are used nterchangealy. MAE140 Notes, Wnter 001 1

2 Sucrcuts play an mportant role n lnear crcut theory. Theenn theorem states that any sucrcut contanng lnear crcut element has an characterstcs of A B = C (where A, B, andc are constants) and t can e reduced to a sucrcut contanng at most two lnear crcut elements (Theenn and Norton Forms). We wll dscuss Theenn Theorem later. Below, we explore sucrcuts n the context of elements that are n seres or n parallel. In each case, we fnd the characterstcs of the sucrcut and use that to fnd the equalent element. Elements n Seres Two elements are called n seres f they and only they share a common node. Alternately, seresconnected elements carry the same current. a A Shared Node KCL: a= B Two Resstors n Seres KCL: = 1 = KVL: 1 =0 : 1 = R 1 1 = R 1 = R = R 1 R1 1 R Susttutng from characterstcs equatons n KVL, we get = R 1 R =(R 1 R ) = R eq R eq = R 1 R So, a sucrcut contanng two resstors n seres has an characterstcs of the form = R eq and s equalent to a resstor, R eq = R 1 R. The aoe can e easly extended: k resstors n seres are equalent to one resstor wth R eq =Σ k j=1 R j. A Resstor n Seres wth a Current Source R KCL: = 1 = s KVL: 1 =0 = R 1 s 1 1 s The characterstcs of ICS states that ts current s s, ndependent of ts oltage ( ). Aoe equatons show that the characterstcs of sucrcut s = s and s ndependent MAE140 Notes, Wnter

3 of oltage = 1 (as alue of 1 can e anythng). The equalent sucrcut s an ndependent current source wth strength s. A Resstor n Seres wth a Voltage Source R Ths s the Theenn form and cannot e reduced further. s A Voltage Source n Seres wth a Voltage Source s1 s KVL: s1 s =0 = s1 s The characterstcs of IVS states that ther oltages are s1 and s, respectely, ndependent of ther currents. Aoe equaton shows that the characterstcs of sucrcut s = s1 s and s ndependent of current. The equalent sucrcut s an ndependent oltage source wth strength s1 s (algerac sum of two). Note that t s prudent to use KVL to fnd the strngeth of the equalent source. A Voltage Source n Seres wth a Current Source KCL: = s1 = KVL: 1 s =0 = 1 s s1 1 s The characterstcs of ICS states that ts current s s1, ndependent of ts ( 1 ). Aoe equatons show that the characterstcs of sucrcut s = s1 and s ndependent of oltage = 1 s (as alue of 1 can e anythng). The equalent sucrcut s an ndependent current source wth strength s1. Note: A current source n seres wth any element reduced to a current source. Seres element all hae the same current and the current source requres the current through to e equal to ts strength. MAE140 Notes, Wnter

4 A Current Source n Seres wth a Current Source KCL: = s1 = s s1 s A current source n seres wth any element reduces to a current source. Howeer, n the case of two current sources n seres, KCL requres s1 = s. Thus, two current sources can e attached n seres only f s1 = s. If so, the equalent sucrcut s an ndependent current source wth strength s = s1 = s. Ths constrant n allowale crcut confguraton arses ecause we are dealng wth dealzed crcut elements. We wll dscuss real sources later and wll see that two real or practcal current sources can e attached n seres een f they hae dfferent strength (although the result may e a lot of sparks and two urnt out current sources!) Elements n Parallel Two element are called n parallel f they share oth nodes. Alternately, parallelconnected elements hae the same oltage. B a A Share Both Nodes KVL: a = Two Resstors n Parallel KCL: 1 =0 KVL: = 1 = 1 R 1 1 R : 1 = R 1 1 = R Susttutng from characterstcs equatons n KCL, and usng = 1 =,weget = R 1 R = ( 1 1 ) R1 R = R eq 1 R eq = 1 R 1 1 R So, a sucrcut contanng two resstors n parallel has an characterstcs of the form = R eq and s equalent to a resstor, 1/R eq =1/R 1 1/R. The aoe can e easly extended: k resstors n seres are equalent to one resstor wth 1/R eq =Σ k j=11/r j. MAE140 Notes, Wnter

5 A Resstor n Parallel wth a Current Source Ths s the Norton form and cannot e reduced further. We wll show later that Norton and Theenn forms are equalent. 1 R 1 1 s A Resstor n Parallel wth a Voltage Source KCL: 1 =0 KVL: = 1 = s 1 s R 1 1 The characterstcs of IVS states that ts oltage s s, ndependent of ts current,. Aoe equatons show that the characterstcs of sucrcut s = s ndependent of current. The equalent sucrcut s an ndependent oltage source wth strength s. A Current Source n Parallel wth a Current Source KCL: s1 s =0 = s1 s 1 s1 s The characterstcs of ICSs state that ther currents are s1 and s, respectely, ndependent of ther oltage,. Aoe equatons show that the characterstcs of sucrcut s = s1 s ndependent of alue of oltage. The equalent sucrcut s an ndependent oltage source wth strength s = s1 s. A Current Source n Parallel wth a Voltage Source KCL: 1 =0 KVL: = s = 1 s s The characterstcs of IVS states that ts oltage s s, ndependent of ts current, 1. Aoe equatons show that the characterstcs of sucrcut s = s and s ndependent of current = 1 s (as alue of 1 can e anythng). The equalent sucrcut s an ndependent oltage source wth strength s. Note: A oltage source n parallel wth any element reduces to a oltage source. Parallel elements all hae the same oltage and the oltage source requres ts oltage across to e equal to ts strength. MAE140 Notes, Wnter

6 A Voltage Source n Parallel wth a Voltage Source KVL: = s1 = s 1 s1 s A oltage source n parallel wth any element reduces to a oltage source. Howeer, n the case of two oltage sources n parallel, KVL requres s1 = s. Thus, two oltage sources can e attached n parallel only f s1 = s. If so, the equalent sucrcut s an ndependent oltage source wth strength s = s1 = s. Ths constrant n allowale crcut confguraton arses ecause we are dealng wt dealzed crcut element. We wll dscuss real sources later. Summary of Twotermnal Equalent Sucrcuts Seres Parallel R 1 and R Resstor (R eq = R 1 R ) Resstor (1/R eq =1/R 1 1/R ) R and IVS ( s ) Theenn Form IVS ( s ) R and ICS ( s ) ICS ( s ) Norton Form IVS ( s1 )andivs( s ) IVS ( s = s1 s ) IVS ( s = s1 = s ) IVS ( s1 )andics( s ) ICS ( s ) IVS ( s ) ICS ( s1 )andics( s ) ICS ( s = s1 = s ) ICS ( s = s1 s ) Theenn and Norton forms are equalent. Connecton s allowed only f s1 = s or s1 = s. Theenn and Norton Forms and Source Transformaton Theenn and Norton forms are equalent. One can replace one wth the other. Ths s called source transformaton and s helpful n rearrangng other elements n the crcut and sometme arrng at more element eng n seres and parallel. Watch out for polartes of the IVS and the ICS and follow the dagrams on the left! RT N RN T Theenn Form Norton Form Equalent f R =R T N and = T N R T MAE140 Notes, Wnter

7 Three or More Element n Seres Poston of elements n seres can e nterchanged wthout any effect on the crcut. The reason s that KCL ensures that all elements carry the same current, the oltage across each element s unquely set y ts characterstcs and alue of, and the oltage oer all of the elements, = a c = c a s the same f we nterchange the poston of the elements. A B C a c C A B c a To smplfy crcuts wth 3 or more elements n seres: 1. Check f there s a current source. If so, all seres elements can e replaced wth a current source of the same strength. Note that f there are more than one current source, you should check for llegal connectons of two current sources n seres.. Rearrange elements and group resstors and oltage sources together. Replace resstors wth a resstor, R eq =ΣR j and oltage sources wth a oltage source wth strength s =Σ sj. It s prudent to use KVL to ensure that you get the correct algerac sum of Σ sj. Example: Four elements are n seres. One current source exsts. The equalent element s a current source. 10 Ω 5 V 0 Ω A A Example: Four elements are n seres. No current source exsts. Group resstors and IVSs together. 10 Ω 10 Ω 5 V 0 Ω V 0 Ω 5 V V s R eq =100=30Ω KVL: 5 s =0 s =3V 30 Ω 3 V MAE140 Notes, Wnter

8 Three or More Element n Parallel A a c B C B C A c a Poston of elements n parallel can e nterchanged wthout any effect on the crcut ecause the deal wres can e stretched wthout any mpact on the crcut. (Imagne lftng element A out of the paper, mong t ehnd element C and puttng t ack on the paper.) To smplfy crcuts wth 3 or more elements n parallel: 1. Check f there s a oltage source. If so, all parallel elements can e replaced wth a oltage source of the same strength. Note that f there are more than one oltage source, you should check for llegal connectons of two oltages sources n parallel.. Rearrange elements and group resstors and current sources together. Replace resstors wth a resstor, 1/R eq =Σ 1/R j and current sources wth a current source wth strength s =Σ sj. It s prudent to use KCL to ensure that you get the correct algerac sum of Σ sj. Applcaton of Crcut Reducton Technques Crcut reducton technques are powerful methods to smplfy the crcut as they reduce the numer of elements (and therefore, the numer of equatons to e soled smultaneously). Howeer, when seeral crcut element are comned, the crcut arales assocated wth those elements are lost n the process of transformaton. In prncple, one should sole the smplfes crcut and fnd the remanng crcut arales. Then, one should go ack to the orgnal crcut to fnd the lost crcut arales. Two examples elow show ths process. Because of ths extra step, crcut reducton technques do not always lead to smpler crcuts and they should e used judcously. MAE140 Notes, Wnter

9 Example: Fnd f R 1 = R =1kΩand s =5V. Resstors R 1 and R are n seres, so we can replace them wth an equalent resstor R eq = R 1 R =kω. The resultant crcut s shown. From the pont of ew of the rest of the crcut (.e., IVS) nothng has changed and so the current remans the same. Howeer, the crcut arales n the reduced part, 1 and do not appear n the reduced crcut. To fnd, we frst sole the reduced crcut to fnd : KVL: s R eq =0 = s = 5 =.5 ma R eq, 000 s R1 1 R s R1 R We then use the alue of n the orgnal crcut to fnd : = R =1, =.5 V Example: Fnd 0 and 1. In ths crcut, we hae two sources n parallel and two sources n seres. The prolem unknowns are oltage and current of the sources that are n parallel. So, t s not prudent n the frst step to comne them. Rather, we comne the two sources n seres. A current source n seres wth a oltage source reduces to a current source wth the same strength as s shown. 1 can now e found y KCL and 0 y KVL: KCL: = 0 1 = 5 A A 100 V 10 A 100 V V 15 A 15 A KVL: =0 0 = 100 V Note that f we had reduced the two sources n parallel n the orgnal crcut, we would hae reached a crcut whch was tral and not helpful n fndng 0 and 1 (try t!). So, crcut reducton should e used judcously. Example elow shows a crcut that can e soled wthout any crcut reducton and, n fact, crcut reducton makes the soluton more dffcult. Example: In the crcut aoe, fnd 0 and. Both 0 and an e found y KVL: KVL: =0 0 = 100 V KVL: =0 = 140 V MAE140 Notes, Wnter 001 0

10 Some Practcal Resste Crcuts Voltage Dder: The two resstors can e replaced y an equalent resstor, R eq = R 1 R.Thus: s = R eq = s R eq 1 = R 1 = R 1 R eq s = R = R R eq s s R1 R 1 Also, 1 = R 1 R Ths crcut s called a oltage dder as the two resstors dde the oltage of the IVS etween them proportonal to ther alues. Ths crcut can e extended y addng more resstors to the crcut and get more reference oltages. Ths crcut s used extensely n electronc crcuts. The asc reason s that power supples are ulky and/or expense. Typcally, one power supply wth one oltage s proded. On the other hand, more than one oltage may e needed for the crcut to operate properly. Example: A attery operated rado has a 9 V attery. Part of rado crcuts requre a 6 V supply. Desgn a oltage dder crcut to supply 6 V oltage to these crcuts. The desred crcut s the oltage dder crcut aoe wth s =9Vand = 6 V. Then, = R R eq s 6= R R 1 R 9 R R 1 R = 6 9 Ths s one equaton n two unknowns and one s free to choose one parameter. For example, choosng R 1 =1kΩwegetR =kω. Voltage dders are affected y the load current drawn from them (see fgure). The oltage dder formula can only e used for the crcut shown on the rght f l (proe t!). We wll dscuss the mpact of the load on oltage dders when we dscuss real sources. s R1 1 L R Load MAE140 Notes, Wnter 001 1

11 Current Dder: The two resstors can e replaced y an equalent resstor, 1/R eq =1/R 1 1/R.Thus: = R eq s R 1 1 R = 1 R 1 1 = R 1 = R eq R 1 s = R = R = R eq R s Also, 1 = R R 1 Ths crcut s called a current dder as the two resstors dde the current of the ICS etween them (nersely proportonal to ther alues). Ths crcut can e extended y addng more resstors to the crcut and get more reference currents. Wheatstone Brdge A typcal Ohmmeter measures the resstance of a resstor y usng the Ohm s Law. It apples a known oltage of s across the resstor, measures the current flowng through the resstor, and ts dal are set to conert the measured alue of current nto the alue of resstance y usng R = s / measured. (Ths s why one cannot measure the alue of a resstor whle t s attached n a crcut, Ohmmeter works only f the resstor s not attached to anythng ut the meter.) A typcal dgtal multmeter measure resstance wthn an accuracy of aout 1%. In some cases, hgher accuracy s needed. Resstor rdges are used for ths purpose and they are made of two oltage dder crcuts put n parallel wth each other. The rdges operate ased on the fact that whle t s dffcult to measure the dfference etween 1 and 1.01 V or 1 and 1.01 A dstnctly (they are only 1% apart and wthn the accuracy of meter), t s easy to measure 0.01 V. A most wdely used rdge s the Wheatstone rdge shown. It conssts of two oltage dder crcuts wth a oltmeter measurng the oltage etween ponts A and R1 RA B (denoted y m ). We note from oltage dder formulas: A s m B = R s R 1 R B = R B s R A R B R B RB MAE140 Notes, Wnter 001

12 ( ) R R B KVL: m B =0 m = B = s R 1 R R A R B A Wheatstone rdge s used n two modes. To measure the alue of a resstor accurately, and to montor to change n a resstance accurately. Measurng resstance accurately: Suppose the unknown resstance s R B. T wo known and accurate resstors R 1 and R A are chosen. An accurate ut arale resstor s used for R. Typcally, a resstor ox or a decade ox s used. The dals on the ox swtch some accurate resstor n parallel or n seres to get the desred resstor alue accurately. The rdge s setup and s powered up. The arale resstor R s ared untl the meter read zero oltage for m. Then: ( ) R R B m = s =0 R 1 R R A R B R R B = R 1 R R 1 R R A R B R R 1 = R A R R B R B = R A R R 1 = R A R B R B Note that we do not need to know alue of s to fnd R B.Thsway,R B s measure wthn the accuracy of resstors,r 1, R,andR A. Measurng resstance changes accurately: In certan sensors, the resstance of the sensor changes proportonal to external forces or condtons. For example, a stran gauge measures the elongaton (stran) of a sold materal caused y appled forces (stress). A typcal stran gauge conssts of a thn flm of conductng materal deposted on an nsulatng sustrate and onded to a test memer. When the test artcle s under stress, ts dmenson changes (e.g., ts length L changes to L L. The resstance of the stran gauge (the conductng flm) change accordng to R =R G L L where R G s the resstance of gauge when no stress s appled, R s the change n the gauge resstance, and factor of comes from the fact that as the materal s elongated ts cross secton s reduced. Usually, we lke to measure stran alues, L/L, that can e as small as 10 4 (whch means the changes n gauge resstance s of the same order and cannot e measured y a smple ohmmeter). MAE140 Notes, Wnter 001 3

13 Wheatstone rdge s used to measure R n the followng confguraton. The stran gauge, R G s put n place of R. R 1 s replaced y a smlar stran gauge whch s under no stress and s used as a reference. The resstances R A and R B are chosen such that rdge s alanced ( m = 0) when no stress s appled. Followng the equatons for a alanced rdge, we get: R 1 R 1 R G = R B R A R B Typcally, R 1 = R G whch mples R A = R B. When stress s appled to the system, the stran gauge resstance changes to R = R G R and a oltage m appears on the rdge. Then, ( ) R G R m = s R 1 R G R R B R A R B Usng R 1 = R G and R A = R B,weget: ( RG R m = s R G R 1 ) m = s R G R R G R (R G R) R m = s (R G R) R m = s 4R G where n the last equaton, we hae gnored R n the denomnator snce R <<R G.Usng the relatonshp etween R and stran ( L), we get L L = R R G = m s Note that n ths applcaton an accurate oltage source, s, s needed. MAE140 Notes, Wnter 001 4

+ + + - - This circuit than can be reduced to a planar circuit

+ + + - - This circuit than can be reduced to a planar circuit MeshCurrent Method The meshcurrent s analog of the nodeoltage method. We sole for a new set of arables, mesh currents, that automatcally satsfy KCLs. As such, meshcurrent method reduces crcut soluton to

More information

Linear Circuits Analysis. Superposition, Thevenin /Norton Equivalent circuits

Linear Circuits Analysis. Superposition, Thevenin /Norton Equivalent circuits Lnear Crcuts Analyss. Superposton, Theenn /Norton Equalent crcuts So far we hae explored tmendependent (resste) elements that are also lnear. A tmendependent elements s one for whch we can plot an / cure.

More information

(6)(2) (-6)(-4) (-4)(6) + (-2)(-3) + (4)(3) + (2)(-3) = -12-24 + 24 + 6 + 12 6 = 0

(6)(2) (-6)(-4) (-4)(6) + (-2)(-3) + (4)(3) + (2)(-3) = -12-24 + 24 + 6 + 12 6 = 0 Chapter 3 Homework Soluton P3.-, 4, 6, 0, 3, 7, P3.3-, 4, 6, P3.4-, 3, 6, 9, P3.5- P3.6-, 4, 9, 4,, 3, 40 ---------------------------------------------------- P 3.- Determne the alues of, 4,, 3, and 6

More information

The circuit shown on Figure 1 is called the common emitter amplifier circuit. The important subsystems of this circuit are:

The circuit shown on Figure 1 is called the common emitter amplifier circuit. The important subsystems of this circuit are: polar Juncton Transstor rcuts Voltage and Power Amplfer rcuts ommon mtter Amplfer The crcut shown on Fgure 1 s called the common emtter amplfer crcut. The mportant subsystems of ths crcut are: 1. The basng

More information

8.5 UNITARY AND HERMITIAN MATRICES. The conjugate transpose of a complex matrix A, denoted by A*, is given by

8.5 UNITARY AND HERMITIAN MATRICES. The conjugate transpose of a complex matrix A, denoted by A*, is given by 6 CHAPTER 8 COMPLEX VECTOR SPACES 5. Fnd the kernel of the lnear transformaton gven n Exercse 5. In Exercses 55 and 56, fnd the mage of v, for the ndcated composton, where and are gven by the followng

More information

The Full-Wave Rectifier

The Full-Wave Rectifier 9/3/2005 The Full Wae ectfer.doc /0 The Full-Wae ectfer Consder the followng juncton dode crcut: s (t) Power Lne s (t) 2 Note that we are usng a transformer n ths crcut. The job of ths transformer s to

More information

The Mathematical Derivation of Least Squares

The Mathematical Derivation of Least Squares Pscholog 885 Prof. Federco The Mathematcal Dervaton of Least Squares Back when the powers that e forced ou to learn matr algera and calculus, I et ou all asked ourself the age-old queston: When the hell

More information

Faraday's Law of Induction

Faraday's Law of Induction Introducton Faraday's Law o Inducton In ths lab, you wll study Faraday's Law o nducton usng a wand wth col whch swngs through a magnetc eld. You wll also examne converson o mechanc energy nto electrc energy

More information

Chapter 6 Inductance, Capacitance, and Mutual Inductance

Chapter 6 Inductance, Capacitance, and Mutual Inductance Chapter 6 Inductance Capactance and Mutual Inductance 6. The nductor 6. The capactor 6.3 Seres-parallel combnatons of nductance and capactance 6.4 Mutual nductance 6.5 Closer look at mutual nductance Oerew

More information

Peak Inverse Voltage

Peak Inverse Voltage 9/13/2005 Peak Inerse Voltage.doc 1/6 Peak Inerse Voltage Q: I m so confused! The brdge rectfer and the fullwae rectfer both prode full-wae rectfcaton. Yet, the brdge rectfer use 4 juncton dodes, whereas

More information

v a 1 b 1 i, a 2 b 2 i,..., a n b n i.

v a 1 b 1 i, a 2 b 2 i,..., a n b n i. SECTION 8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS 455 8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS All the vector spaces we have studed thus far n the text are real vector spaces snce the scalars are

More information

The OC Curve of Attribute Acceptance Plans

The OC Curve of Attribute Acceptance Plans The OC Curve of Attrbute Acceptance Plans The Operatng Characterstc (OC) curve descrbes the probablty of acceptng a lot as a functon of the lot s qualty. Fgure 1 shows a typcal OC Curve. 10 8 6 4 1 3 4

More information

Calculation of Sampling Weights

Calculation of Sampling Weights Perre Foy Statstcs Canada 4 Calculaton of Samplng Weghts 4.1 OVERVIEW The basc sample desgn used n TIMSS Populatons 1 and 2 was a two-stage stratfed cluster desgn. 1 The frst stage conssted of a sample

More information

benefit is 2, paid if the policyholder dies within the year, and probability of death within the year is ).

benefit is 2, paid if the policyholder dies within the year, and probability of death within the year is ). REVIEW OF RISK MANAGEMENT CONCEPTS LOSS DISTRIBUTIONS AND INSURANCE Loss and nsurance: When someone s subject to the rsk of ncurrng a fnancal loss, the loss s generally modeled usng a random varable or

More information

Resistive Network Analysis. The Node Voltage Method - 1

Resistive Network Analysis. The Node Voltage Method - 1 esste Network Anlyss he nlyss of n electrcl network conssts of determnng ech of the unknown rnch currents nd node oltges. A numer of methods for network nlyss he een deeloped, sed on Ohm s Lw nd Krchoff

More information

Module 2 LOSSLESS IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 2 LOSSLESS IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module LOSSLESS IMAGE COMPRESSION SYSTEMS Lesson 3 Lossless Compresson: Huffman Codng Instructonal Objectves At the end of ths lesson, the students should be able to:. Defne and measure source entropy..

More information

Simple Interest Loans (Section 5.1) :

Simple Interest Loans (Section 5.1) : Chapter 5 Fnance The frst part of ths revew wll explan the dfferent nterest and nvestment equatons you learned n secton 5.1 through 5.4 of your textbook and go through several examples. The second part

More information

HALL EFFECT SENSORS AND COMMUTATION

HALL EFFECT SENSORS AND COMMUTATION OEM770 5 Hall Effect ensors H P T E R 5 Hall Effect ensors The OEM770 works wth three-phase brushless motors equpped wth Hall effect sensors or equvalent feedback sgnals. In ths chapter we wll explan how

More information

PSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 12

PSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 12 14 The Ch-squared dstrbuton PSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 1 If a normal varable X, havng mean µ and varance σ, s standardsed, the new varable Z has a mean 0 and varance 1. When ths standardsed

More information

8.4. Annuities: Future Value. INVESTIGATE the Math. 504 8.4 Annuities: Future Value

8.4. Annuities: Future Value. INVESTIGATE the Math. 504 8.4 Annuities: Future Value 8. Annutes: Future Value YOU WILL NEED graphng calculator spreadsheet software GOAL Determne the future value of an annuty earnng compound nterest. INVESTIGATE the Math Chrstne decdes to nvest $000 at

More information

BERNSTEIN POLYNOMIALS

BERNSTEIN POLYNOMIALS On-Lne Geometrc Modelng Notes BERNSTEIN POLYNOMIALS Kenneth I. Joy Vsualzaton and Graphcs Research Group Department of Computer Scence Unversty of Calforna, Davs Overvew Polynomals are ncredbly useful

More information

Chapter 12 Inductors and AC Circuits

Chapter 12 Inductors and AC Circuits hapter Inductors and A rcuts awrence B. ees 6. You may make a sngle copy of ths document for personal use wthout wrtten permsson. Hstory oncepts from prevous physcs and math courses that you wll need for

More information

Comparison of Control Strategies for Shunt Active Power Filter under Different Load Conditions

Comparison of Control Strategies for Shunt Active Power Filter under Different Load Conditions Comparson of Control Strateges for Shunt Actve Power Flter under Dfferent Load Condtons Sanjay C. Patel 1, Tushar A. Patel 2 Lecturer, Electrcal Department, Government Polytechnc, alsad, Gujarat, Inda

More information

Multiple stage amplifiers

Multiple stage amplifiers Multple stage amplfers Ams: Examne a few common 2-transstor amplfers: -- Dfferental amplfers -- Cascode amplfers -- Darlngton pars -- current mrrors Introduce formal methods for exactly analysng multple

More information

Recurrence. 1 Definitions and main statements

Recurrence. 1 Definitions and main statements Recurrence 1 Defntons and man statements Let X n, n = 0, 1, 2,... be a MC wth the state space S = (1, 2,...), transton probabltes p j = P {X n+1 = j X n = }, and the transton matrx P = (p j ),j S def.

More information

Finite Math Chapter 10: Study Guide and Solution to Problems

Finite Math Chapter 10: Study Guide and Solution to Problems Fnte Math Chapter 10: Study Gude and Soluton to Problems Basc Formulas and Concepts 10.1 Interest Basc Concepts Interest A fee a bank pays you for money you depost nto a savngs account. Prncpal P The amount

More information

VRT012 User s guide V0.1. Address: Žirmūnų g. 27, Vilnius LT-09105, Phone: (370-5) 2127472, Fax: (370-5) 276 1380, Email: info@teltonika.

VRT012 User s guide V0.1. Address: Žirmūnų g. 27, Vilnius LT-09105, Phone: (370-5) 2127472, Fax: (370-5) 276 1380, Email: info@teltonika. VRT012 User s gude V0.1 Thank you for purchasng our product. We hope ths user-frendly devce wll be helpful n realsng your deas and brngng comfort to your lfe. Please take few mnutes to read ths manual

More information

Small-Signal Analysis of BJT Differential Pairs

Small-Signal Analysis of BJT Differential Pairs 5/11/011 Dfferental Moe Sall Sgnal Analyss of BJT Dff Par 1/1 SallSgnal Analyss of BJT Dfferental Pars Now lets conser the case where each nput of the fferental par conssts of an entcal D bas ter B, an

More information

Section 5.4 Annuities, Present Value, and Amortization

Section 5.4 Annuities, Present Value, and Amortization Secton 5.4 Annutes, Present Value, and Amortzaton Present Value In Secton 5.2, we saw that the present value of A dollars at nterest rate per perod for n perods s the amount that must be deposted today

More information

THE METHOD OF LEAST SQUARES THE METHOD OF LEAST SQUARES

THE METHOD OF LEAST SQUARES THE METHOD OF LEAST SQUARES The goal: to measure (determne) an unknown quantty x (the value of a RV X) Realsaton: n results: y 1, y 2,..., y j,..., y n, (the measured values of Y 1, Y 2,..., Y j,..., Y n ) every result s encumbered

More information

Face Verification Problem. Face Recognition Problem. Application: Access Control. Biometric Authentication. Face Verification (1:1 matching)

Face Verification Problem. Face Recognition Problem. Application: Access Control. Biometric Authentication. Face Verification (1:1 matching) Face Recognton Problem Face Verfcaton Problem Face Verfcaton (1:1 matchng) Querymage face query Face Recognton (1:N matchng) database Applcaton: Access Control www.vsage.com www.vsoncs.com Bometrc Authentcaton

More information

Support Vector Machines

Support Vector Machines Support Vector Machnes Max Wellng Department of Computer Scence Unversty of Toronto 10 Kng s College Road Toronto, M5S 3G5 Canada wellng@cs.toronto.edu Abstract Ths s a note to explan support vector machnes.

More information

"Research Note" APPLICATION OF CHARGE SIMULATION METHOD TO ELECTRIC FIELD CALCULATION IN THE POWER CABLES *

Research Note APPLICATION OF CHARGE SIMULATION METHOD TO ELECTRIC FIELD CALCULATION IN THE POWER CABLES * Iranan Journal of Scence & Technology, Transacton B, Engneerng, ol. 30, No. B6, 789-794 rnted n The Islamc Republc of Iran, 006 Shraz Unversty "Research Note" ALICATION OF CHARGE SIMULATION METHOD TO ELECTRIC

More information

Luby s Alg. for Maximal Independent Sets using Pairwise Independence

Luby s Alg. for Maximal Independent Sets using Pairwise Independence Lecture Notes for Randomzed Algorthms Luby s Alg. for Maxmal Independent Sets usng Parwse Independence Last Updated by Erc Vgoda on February, 006 8. Maxmal Independent Sets For a graph G = (V, E), an ndependent

More information

Section C2: BJT Structure and Operational Modes

Section C2: BJT Structure and Operational Modes Secton 2: JT Structure and Operatonal Modes Recall that the semconductor dode s smply a pn juncton. Dependng on how the juncton s based, current may easly flow between the dode termnals (forward bas, v

More information

Calculating the high frequency transmission line parameters of power cables

Calculating the high frequency transmission line parameters of power cables < ' Calculatng the hgh frequency transmsson lne parameters of power cables Authors: Dr. John Dcknson, Laboratory Servces Manager, N 0 RW E B Communcatons Mr. Peter J. Ncholson, Project Assgnment Manager,

More information

21 Vectors: The Cross Product & Torque

21 Vectors: The Cross Product & Torque 21 Vectors: The Cross Product & Torque Do not use our left hand when applng ether the rght-hand rule for the cross product of two vectors dscussed n ths chapter or the rght-hand rule for somethng curl

More information

Forecasting the Demand of Emergency Supplies: Based on the CBR Theory and BP Neural Network

Forecasting the Demand of Emergency Supplies: Based on the CBR Theory and BP Neural Network 700 Proceedngs of the 8th Internatonal Conference on Innovaton & Management Forecastng the Demand of Emergency Supples: Based on the CBR Theory and BP Neural Network Fu Deqang, Lu Yun, L Changbng School

More information

Example: Determine the power supplied by each of the sources, independent and dependent, in this circuit:

Example: Determine the power supplied by each of the sources, independent and dependent, in this circuit: Example: Determine the power supplied by each of the sources, independent and dependent, in this circuit: Solution: We ll begin by choosing the bottom node to be the reference node. Next we ll label the

More information

1 Example 1: Axis-aligned rectangles

1 Example 1: Axis-aligned rectangles COS 511: Theoretcal Machne Learnng Lecturer: Rob Schapre Lecture # 6 Scrbe: Aaron Schld February 21, 2013 Last class, we dscussed an analogue for Occam s Razor for nfnte hypothess spaces that, n conjuncton

More information

Activity Scheduling for Cost-Time Investment Optimization in Project Management

Activity Scheduling for Cost-Time Investment Optimization in Project Management PROJECT MANAGEMENT 4 th Internatonal Conference on Industral Engneerng and Industral Management XIV Congreso de Ingenería de Organzacón Donosta- San Sebastán, September 8 th -10 th 010 Actvty Schedulng

More information

RESEARCH ON DUAL-SHAKER SINE VIBRATION CONTROL. Yaoqi FENG 1, Hanping QIU 1. China Academy of Space Technology (CAST) yaoqi.feng@yahoo.

RESEARCH ON DUAL-SHAKER SINE VIBRATION CONTROL. Yaoqi FENG 1, Hanping QIU 1. China Academy of Space Technology (CAST) yaoqi.feng@yahoo. ICSV4 Carns Australa 9- July, 007 RESEARCH ON DUAL-SHAKER SINE VIBRATION CONTROL Yaoq FENG, Hanpng QIU Dynamc Test Laboratory, BISEE Chna Academy of Space Technology (CAST) yaoq.feng@yahoo.com Abstract

More information

where the coordinates are related to those in the old frame as follows.

where the coordinates are related to those in the old frame as follows. Chapter 2 - Cartesan Vectors and Tensors: Ther Algebra Defnton of a vector Examples of vectors Scalar multplcaton Addton of vectors coplanar vectors Unt vectors A bass of non-coplanar vectors Scalar product

More information

Answer: A). There is a flatter IS curve in the high MPC economy. Original LM LM after increase in M. IS curve for low MPC economy

Answer: A). There is a flatter IS curve in the high MPC economy. Original LM LM after increase in M. IS curve for low MPC economy 4.02 Quz Solutons Fall 2004 Multple-Choce Questons (30/00 ponts) Please, crcle the correct answer for each of the followng 0 multple-choce questons. For each queston, only one of the answers s correct.

More information

1. Math 210 Finite Mathematics

1. Math 210 Finite Mathematics 1. ath 210 Fnte athematcs Chapter 5.2 and 5.3 Annutes ortgages Amortzaton Professor Rchard Blecksmth Dept. of athematcal Scences Northern Illnos Unversty ath 210 Webste: http://math.nu.edu/courses/math210

More information

An Alternative Way to Measure Private Equity Performance

An Alternative Way to Measure Private Equity Performance An Alternatve Way to Measure Prvate Equty Performance Peter Todd Parlux Investment Technology LLC Summary Internal Rate of Return (IRR) s probably the most common way to measure the performance of prvate

More information

Chapter 31B - Transient Currents and Inductance

Chapter 31B - Transient Currents and Inductance Chapter 31B - Transent Currents and Inductance A PowerPont Presentaton by Paul E. Tppens, Professor of Physcs Southern Polytechnc State Unversty 007 Objectves: After completng ths module, you should be

More information

How To Understand The Results Of The German Meris Cloud And Water Vapour Product

How To Understand The Results Of The German Meris Cloud And Water Vapour Product Ttel: Project: Doc. No.: MERIS level 3 cloud and water vapour products MAPP MAPP-ATBD-ClWVL3 Issue: 1 Revson: 0 Date: 9.12.1998 Functon Name Organsaton Sgnature Date Author: Bennartz FUB Preusker FUB Schüller

More information

Time Value of Money Module

Time Value of Money Module Tme Value of Money Module O BJECTIVES After readng ths Module, you wll be able to: Understand smple nterest and compound nterest. 2 Compute and use the future value of a sngle sum. 3 Compute and use the

More information

Causal, Explanatory Forecasting. Analysis. Regression Analysis. Simple Linear Regression. Which is Independent? Forecasting

Causal, Explanatory Forecasting. Analysis. Regression Analysis. Simple Linear Regression. Which is Independent? Forecasting Causal, Explanatory Forecastng Assumes cause-and-effect relatonshp between system nputs and ts output Forecastng wth Regresson Analyss Rchard S. Barr Inputs System Cause + Effect Relatonshp The job of

More information

A hybrid global optimization algorithm based on parallel chaos optimization and outlook algorithm

A hybrid global optimization algorithm based on parallel chaos optimization and outlook algorithm Avalable onlne www.ocpr.com Journal of Chemcal and Pharmaceutcal Research, 2014, 6(7):1884-1889 Research Artcle ISSN : 0975-7384 CODEN(USA) : JCPRC5 A hybrd global optmzaton algorthm based on parallel

More information

NOTE: The Flatpak version has the same pinouts (Connection Diagram) as the Dual In-Line Package. *MR for LS160A and LS161A *SR for LS162A and LS163A

NOTE: The Flatpak version has the same pinouts (Connection Diagram) as the Dual In-Line Package. *MR for LS160A and LS161A *SR for LS162A and LS163A BCD DECADE COUNTERS/ 4-BIT BINARY COUNTERS The LS160A/ 161A/ 162A/ 163A are hgh-speed 4-bt synchronous counters. They are edge-trggered, synchronously presettable, and cascadable MSI buldng blocks for

More information

Section 5.3 Annuities, Future Value, and Sinking Funds

Section 5.3 Annuities, Future Value, and Sinking Funds Secton 5.3 Annutes, Future Value, and Snkng Funds Ordnary Annutes A sequence of equal payments made at equal perods of tme s called an annuty. The tme between payments s the payment perod, and the tme

More information

Thursday, December 10, 2009 Noon - 1:50 pm Faraday 143

Thursday, December 10, 2009 Noon - 1:50 pm Faraday 143 1. ath 210 Fnte athematcs Chapter 5.2 and 4.3 Annutes ortgages Amortzaton Professor Rchard Blecksmth Dept. of athematcal Scences Northern Illnos Unversty ath 210 Webste: http://math.nu.edu/courses/math210

More information

Using Series to Analyze Financial Situations: Present Value

Using Series to Analyze Financial Situations: Present Value 2.8 Usng Seres to Analyze Fnancal Stuatons: Present Value In the prevous secton, you learned how to calculate the amount, or future value, of an ordnary smple annuty. The amount s the sum of the accumulated

More information

7.5. Present Value of an Annuity. Investigate

7.5. Present Value of an Annuity. Investigate 7.5 Present Value of an Annuty Owen and Anna are approachng retrement and are puttng ther fnances n order. They have worked hard and nvested ther earnngs so that they now have a large amount of money on

More information

The Bridge Rectifier

The Bridge Rectifier 9/4/004 The Brdge ectfer.doc 1/9 The Brdge ectfer Now consder ths juncton dode rectfer crcut: 1 Lne (t) - O (t) _ 4 3 We call ths crcut the brdge rectfer. Let s analyze t and see what t does! Frst, we

More information

Ring structure of splines on triangulations

Ring structure of splines on triangulations www.oeaw.ac.at Rng structure of splnes on trangulatons N. Vllamzar RICAM-Report 2014-48 www.rcam.oeaw.ac.at RING STRUCTURE OF SPLINES ON TRIANGULATIONS NELLY VILLAMIZAR Introducton For a trangulated regon

More information

1. Measuring association using correlation and regression

1. Measuring association using correlation and regression How to measure assocaton I: Correlaton. 1. Measurng assocaton usng correlaton and regresson We often would lke to know how one varable, such as a mother's weght, s related to another varable, such as a

More information

Lecture 3: Force of Interest, Real Interest Rate, Annuity

Lecture 3: Force of Interest, Real Interest Rate, Annuity Lecture 3: Force of Interest, Real Interest Rate, Annuty Goals: Study contnuous compoundng and force of nterest Dscuss real nterest rate Learn annuty-mmedate, and ts present value Study annuty-due, and

More information

408-8858 05 AUG 10 Rev L

408-8858 05 AUG 10 Rev L SL Jack Tool Kt 1725150- [ ] Instructon Sheet 408-8858 05 AUG 10 PROPER USE GUIDELINES Cumulatve Trauma Dsorders can result from the prolonged use of manually powered hand tools. Hand tools are ntended

More information

DEFINING %COMPLETE IN MICROSOFT PROJECT

DEFINING %COMPLETE IN MICROSOFT PROJECT CelersSystems DEFINING %COMPLETE IN MICROSOFT PROJECT PREPARED BY James E Aksel, PMP, PMI-SP, MVP For Addtonal Informaton about Earned Value Management Systems and reportng, please contact: CelersSystems,

More information

n + d + q = 24 and.05n +.1d +.25q = 2 { n + d + q = 24 (3) n + 2d + 5q = 40 (2)

n + d + q = 24 and.05n +.1d +.25q = 2 { n + d + q = 24 (3) n + 2d + 5q = 40 (2) MATH 16T Exam 1 : Part I (In-Class) Solutons 1. (0 pts) A pggy bank contans 4 cons, all of whch are nckels (5 ), dmes (10 ) or quarters (5 ). The pggy bank also contans a con of each denomnaton. The total

More information

Optical Signal-to-Noise Ratio and the Q-Factor in Fiber-Optic Communication Systems

Optical Signal-to-Noise Ratio and the Q-Factor in Fiber-Optic Communication Systems Applcaton ote: FA-9.0. Re.; 04/08 Optcal Sgnal-to-ose Rato and the Q-Factor n Fber-Optc Communcaton Systems Functonal Dagrams Pn Confguratons appear at end of data sheet. Functonal Dagrams contnued at

More information

The Development of Web Log Mining Based on Improve-K-Means Clustering Analysis

The Development of Web Log Mining Based on Improve-K-Means Clustering Analysis The Development of Web Log Mnng Based on Improve-K-Means Clusterng Analyss TngZhong Wang * College of Informaton Technology, Luoyang Normal Unversty, Luoyang, 471022, Chna wangtngzhong2@sna.cn Abstract.

More information

We are now ready to answer the question: What are the possible cardinalities for finite fields?

We are now ready to answer the question: What are the possible cardinalities for finite fields? Chapter 3 Fnte felds We have seen, n the prevous chapters, some examples of fnte felds. For example, the resdue class rng Z/pZ (when p s a prme) forms a feld wth p elements whch may be dentfed wth the

More information

What is Candidate Sampling

What is Candidate Sampling What s Canddate Samplng Say we have a multclass or mult label problem where each tranng example ( x, T ) conssts of a context x a small (mult)set of target classes T out of a large unverse L of possble

More information

Statistical Methods to Develop Rating Models

Statistical Methods to Develop Rating Models Statstcal Methods to Develop Ratng Models [Evelyn Hayden and Danel Porath, Österrechsche Natonalbank and Unversty of Appled Scences at Manz] Source: The Basel II Rsk Parameters Estmaton, Valdaton, and

More information

UNILATERALLY INJECTION-LOCKED GUNN OSCILLATOR PAIR ACTING AS A MICROWAVE ACTIVE NOTCH FILTER

UNILATERALLY INJECTION-LOCKED GUNN OSCILLATOR PAIR ACTING AS A MICROWAVE ACTIVE NOTCH FILTER Internatonal Journal of Electroncs and Communcaton Engneerng & Technology (IJECET) Volume 7, Issue, March-Aprl 016, pp. 5-, Artcle ID: IJECET_07_0_004 Aalable onlne at http://www.aeme.com/ijecet/ssues.asp?jtype=ijecet&vtype=7&itype=

More information

IT09 - Identity Management Policy

IT09 - Identity Management Policy IT09 - Identty Management Polcy Introducton 1 The Unersty needs to manage dentty accounts for all users of the Unersty s electronc systems and ensure that users hae an approprate leel of access to these

More information

Laws of Electromagnetism

Laws of Electromagnetism There are four laws of electromagnetsm: Laws of Electromagnetsm The law of Bot-Savart Ampere's law Force law Faraday's law magnetc feld generated by currents n wres the effect of a current on a loop of

More information

Can Auto Liability Insurance Purchases Signal Risk Attitude?

Can Auto Liability Insurance Purchases Signal Risk Attitude? Internatonal Journal of Busness and Economcs, 2011, Vol. 10, No. 2, 159-164 Can Auto Lablty Insurance Purchases Sgnal Rsk Atttude? Chu-Shu L Department of Internatonal Busness, Asa Unversty, Tawan Sheng-Chang

More information

An Enhanced Super-Resolution System with Improved Image Registration, Automatic Image Selection, and Image Enhancement

An Enhanced Super-Resolution System with Improved Image Registration, Automatic Image Selection, and Image Enhancement An Enhanced Super-Resoluton System wth Improved Image Regstraton, Automatc Image Selecton, and Image Enhancement Yu-Chuan Kuo ( ), Chen-Yu Chen ( ), and Chou-Shann Fuh ( ) Department of Computer Scence

More information

Laddered Multilevel DC/AC Inverters used in Solar Panel Energy Systems

Laddered Multilevel DC/AC Inverters used in Solar Panel Energy Systems Proceedngs of the nd Internatonal Conference on Computer Scence and Electroncs Engneerng (ICCSEE 03) Laddered Multlevel DC/AC Inverters used n Solar Panel Energy Systems Fang Ln Luo, Senor Member IEEE

More information

A Novel Methodology of Working Capital Management for Large. Public Constructions by Using Fuzzy S-curve Regression

A Novel Methodology of Working Capital Management for Large. Public Constructions by Using Fuzzy S-curve Regression Novel Methodology of Workng Captal Management for Large Publc Constructons by Usng Fuzzy S-curve Regresson Cheng-Wu Chen, Morrs H. L. Wang and Tng-Ya Hseh Department of Cvl Engneerng, Natonal Central Unversty,

More information

NMT EE 589 & UNM ME 482/582 ROBOT ENGINEERING. Dr. Stephen Bruder NMT EE 589 & UNM ME 482/582

NMT EE 589 & UNM ME 482/582 ROBOT ENGINEERING. Dr. Stephen Bruder NMT EE 589 & UNM ME 482/582 NMT EE 589 & UNM ME 482/582 ROBOT ENGINEERING Dr. Stephen Bruder NMT EE 589 & UNM ME 482/582 7. Root Dynamcs 7.2 Intro to Root Dynamcs We now look at the forces requred to cause moton of the root.e. dynamcs!!

More information

Level Annuities with Payments Less Frequent than Each Interest Period

Level Annuities with Payments Less Frequent than Each Interest Period Level Annutes wth Payments Less Frequent than Each Interest Perod 1 Annuty-mmedate 2 Annuty-due Level Annutes wth Payments Less Frequent than Each Interest Perod 1 Annuty-mmedate 2 Annuty-due Symoblc approach

More information

Efficient Project Portfolio as a tool for Enterprise Risk Management

Efficient Project Portfolio as a tool for Enterprise Risk Management Effcent Proect Portfolo as a tool for Enterprse Rsk Management Valentn O. Nkonov Ural State Techncal Unversty Growth Traectory Consultng Company January 5, 27 Effcent Proect Portfolo as a tool for Enterprse

More information

How To Calculate The Accountng Perod Of Nequalty

How To Calculate The Accountng Perod Of Nequalty Inequalty and The Accountng Perod Quentn Wodon and Shlomo Ytzha World Ban and Hebrew Unversty September Abstract Income nequalty typcally declnes wth the length of tme taen nto account for measurement.

More information

SUPPLIER FINANCING AND STOCK MANAGEMENT. A JOINT VIEW.

SUPPLIER FINANCING AND STOCK MANAGEMENT. A JOINT VIEW. SUPPLIER FINANCING AND STOCK MANAGEMENT. A JOINT VIEW. Lucía Isabel García Cebrán Departamento de Economía y Dreccón de Empresas Unversdad de Zaragoza Gran Vía, 2 50.005 Zaragoza (Span) Phone: 976-76-10-00

More information

FINANCIAL MATHEMATICS. A Practical Guide for Actuaries. and other Business Professionals

FINANCIAL MATHEMATICS. A Practical Guide for Actuaries. and other Business Professionals FINANCIAL MATHEMATICS A Practcal Gude for Actuares and other Busness Professonals Second Edton CHRIS RUCKMAN, FSA, MAAA JOE FRANCIS, FSA, MAAA, CFA Study Notes Prepared by Kevn Shand, FSA, FCIA Assstant

More information

PERRON FROBENIUS THEOREM

PERRON FROBENIUS THEOREM PERRON FROBENIUS THEOREM R. CLARK ROBINSON Defnton. A n n matrx M wth real entres m, s called a stochastc matrx provded () all the entres m satsfy 0 m, () each of the columns sum to one, m = for all, ()

More information

Institute of Informatics, Faculty of Business and Management, Brno University of Technology,Czech Republic

Institute of Informatics, Faculty of Business and Management, Brno University of Technology,Czech Republic Lagrange Multplers as Quanttatve Indcators n Economcs Ivan Mezník Insttute of Informatcs, Faculty of Busness and Management, Brno Unversty of TechnologCzech Republc Abstract The quanttatve role of Lagrange

More information

Description of the Force Method Procedure. Indeterminate Analysis Force Method 1. Force Method con t. Force Method con t

Description of the Force Method Procedure. Indeterminate Analysis Force Method 1. Force Method con t. Force Method con t Indeternate Analyss Force Method The force (flexblty) ethod expresses the relatonshps between dsplaceents and forces that exst n a structure. Prary objectve of the force ethod s to deterne the chosen set

More information

CHAPTER 5 RELATIONSHIPS BETWEEN QUANTITATIVE VARIABLES

CHAPTER 5 RELATIONSHIPS BETWEEN QUANTITATIVE VARIABLES CHAPTER 5 RELATIONSHIPS BETWEEN QUANTITATIVE VARIABLES In ths chapter, we wll learn how to descrbe the relatonshp between two quanttatve varables. Remember (from Chapter 2) that the terms quanttatve varable

More information

Chapter 4 ECONOMIC DISPATCH AND UNIT COMMITMENT

Chapter 4 ECONOMIC DISPATCH AND UNIT COMMITMENT Chapter 4 ECOOMIC DISATCH AD UIT COMMITMET ITRODUCTIO A power system has several power plants. Each power plant has several generatng unts. At any pont of tme, the total load n the system s met by the

More information

Loop Parallelization

Loop Parallelization - - Loop Parallelzaton C-52 Complaton steps: nested loops operatng on arrays, sequentell executon of teraton space DECLARE B[..,..+] FOR I :=.. FOR J :=.. I B[I,J] := B[I-,J]+B[I-,J-] ED FOR ED FOR analyze

More information

The Greedy Method. Introduction. 0/1 Knapsack Problem

The Greedy Method. Introduction. 0/1 Knapsack Problem The Greedy Method Introducton We have completed data structures. We now are gong to look at algorthm desgn methods. Often we are lookng at optmzaton problems whose performance s exponental. For an optmzaton

More information

Performance attribution for multi-layered investment decisions

Performance attribution for multi-layered investment decisions Performance attrbuton for mult-layered nvestment decsons 880 Thrd Avenue 7th Floor Ne Yor, NY 10022 212.866.9200 t 212.866.9201 f qsnvestors.com Inna Oounova Head of Strategc Asset Allocaton Portfolo Management

More information

Project Networks With Mixed-Time Constraints

Project Networks With Mixed-Time Constraints Project Networs Wth Mxed-Tme Constrants L Caccetta and B Wattananon Western Australan Centre of Excellence n Industral Optmsaton (WACEIO) Curtn Unversty of Technology GPO Box U1987 Perth Western Australa

More information

Rotation Kinematics, Moment of Inertia, and Torque

Rotation Kinematics, Moment of Inertia, and Torque Rotaton Knematcs, Moment of Inerta, and Torque Mathematcally, rotaton of a rgd body about a fxed axs s analogous to a lnear moton n one dmenson. Although the physcal quanttes nvolved n rotaton are qute

More information

) of the Cell class is created containing information about events associated with the cell. Events are added to the Cell instance

) of the Cell class is created containing information about events associated with the cell. Events are added to the Cell instance Calbraton Method Instances of the Cell class (one nstance for each FMS cell) contan ADC raw data and methods assocated wth each partcular FMS cell. The calbraton method ncludes event selecton (Class Cell

More information

An interactive system for structure-based ASCII art creation

An interactive system for structure-based ASCII art creation An nteractve system for structure-based ASCII art creaton Katsunor Myake Henry Johan Tomoyuk Nshta The Unversty of Tokyo Nanyang Technologcal Unversty Abstract Non-Photorealstc Renderng (NPR), whose am

More information

Extending Probabilistic Dynamic Epistemic Logic

Extending Probabilistic Dynamic Epistemic Logic Extendng Probablstc Dynamc Epstemc Logc Joshua Sack May 29, 2008 Probablty Space Defnton A probablty space s a tuple (S, A, µ), where 1 S s a set called the sample space. 2 A P(S) s a σ-algebra: a set

More information

Lecture 2: Single Layer Perceptrons Kevin Swingler

Lecture 2: Single Layer Perceptrons Kevin Swingler Lecture 2: Sngle Layer Perceptrons Kevn Sngler kms@cs.str.ac.uk Recap: McCulloch-Ptts Neuron Ths vastly smplfed model of real neurons s also knon as a Threshold Logc Unt: W 2 A Y 3 n W n. A set of synapses

More information

Tools for Privacy Preserving Distributed Data Mining

Tools for Privacy Preserving Distributed Data Mining Tools for Prvacy Preservng Dstrbuted Data Mnng hrs lfton, Murat Kantarcoglu, Jadeep Vadya Purdue Unversty Department of omputer Scences 250 N Unversty St West Lafayette, IN 47907-2066 USA (clfton, kanmurat,

More information

Rate Monotonic (RM) Disadvantages of cyclic. TDDB47 Real Time Systems. Lecture 2: RM & EDF. Priority-based scheduling. States of a process

Rate Monotonic (RM) Disadvantages of cyclic. TDDB47 Real Time Systems. Lecture 2: RM & EDF. Priority-based scheduling. States of a process Dsadvantages of cyclc TDDB47 Real Tme Systems Manual scheduler constructon Cannot deal wth any runtme changes What happens f we add a task to the set? Real-Tme Systems Laboratory Department of Computer

More information

How To Know The Components Of Mean Squared Error Of Herarchcal Estmator S

How To Know The Components Of Mean Squared Error Of Herarchcal Estmator S S C H E D A E I N F O R M A T I C A E VOLUME 0 0 On Mean Squared Error of Herarchcal Estmator Stans law Brodowsk Faculty of Physcs, Astronomy, and Appled Computer Scence, Jagellonan Unversty, Reymonta

More information

Damage detection in composite laminates using coin-tap method

Damage detection in composite laminates using coin-tap method Damage detecton n composte lamnates usng con-tap method S.J. Km Korea Aerospace Research Insttute, 45 Eoeun-Dong, Youseong-Gu, 35-333 Daejeon, Republc of Korea yaeln@kar.re.kr 45 The con-tap test has the

More information

The Games of Cournot Sports

The Games of Cournot Sports Appled Mathematcal Scences, Vol. 7, 013, no. 4, 01-09 Managers Compensaton and Colluse Behaour under Cournot Olgopoly Marco A. Marn Department of Computer, Control and Management Engneerng Unerstà d Roma

More information