'1 sum' diaporamas de présentation

Unit 4 Review

Unit 4 Review. Mechanisms of Evolution. Chapter 22. Descent with Modification: A Darwinian View of Life. Linnaeus (classification). Hutton (gradual geologic change). Lamarck (species can change). Malthus (population limits). Cuvier (fossils, extinction). Lyell (modern geology).

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Introduction to Matlab

Introduction to Matlab. Part II.

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Administrivia- Introduction

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Administrivia- Introduction

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Introduction

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Loop Invariants (Cont.)

Loop Invariants (Cont.). General Notation. require --- from init invariant inv variant var until exit loop body ensure --- end. R is of the form: {r} T ; {inv : p }{bd : t } while B do S ; od {q}. Correctness Proof.

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SIGNAL FLOW GRAPHS

SIGNAL FLOW GRAPHS. SUBMITTED BY: Mrs. SANDEEP KAUR ASST. PROFESSOR-EEE. Automatic control. block. pickoff point. summer. Automatic control. Automatic control. Automatic control. original. equivalent. G. G. G. original. equivalent. G. G. G. G. G. original. equivalent. G.

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SIGNAL FLOW GRAPHS

SIGNAL FLOW GRAPHS. SUBMITTED BY: Mrs. RAMANDEEP KAUR ASSOT. PROFESSOR-EEE. Automatic control. block. pickoff point. summer. Automatic control. Automatic control. Automatic control. original. equivalent. G. G. G. original. equivalent. G. G. G. G. G. original. equivalent. G.

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Block diagrams & Signal flow graphs

Block diagrams & Signal flow graphs. Automatic control. block. pickoff point. summer. Automatic control. Automatic control. Automatic control. original. equivalent. G. G. G. original. equivalent. G. G. G. G. G. original. equivalent. G. G. Automatic control. Example 1.

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?? 1 ???????

?? 1 ???????. ?? ??? ????? n ???????? ?? ??? ?? ???????. 1 ?????. 2 ?????. function fi=Lagran_(x,y,xi) % ????????? x ? y ?? % ??????????????? xi ???? fi=zeros(size(xi)); % ??? np1=length(y); for i=1:np1

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The simplex method for infeasible solution

The simplex method for infeasible solution. Example. -x1-2x2+3x3<=3; -2x1-6x2+x5>=9; 3x1-x2-7x5>=2; x1+5x2+4x4>=5; x2-3x3>=6;. slack variables artificial variables. x1 x2 x3 x4 x5 s1 s2 s3 s4 s5 y1 y2 y3 y4 y5 b. Min ? y i ? 0 ? infeasible. For convenience:.

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Midterm 2 Review

Midterm 2 Review. 2004. Notes on the CS 5 midterm. Take-home exam due by 5:00 pm Sunday evening (11/14). Hand in your solutions under the door of my office, Olin 1265.

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Introduction to Probability

Introduction to Probability. By Dr. Carol A. Marinas. Sample Space. Definition: a SET of all possible outcomes. Example #1: Flipping a coin Sample Space or S = {heads, tails} Example #2: Rolling a die Sample Space or S = { 1, 2, 3, 4, 5, 6}. Probability.

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Mathematica (2)

Mathematica (2). 3 ???????????????. ParametricPlot3D[{Sin[t],Cos[t],t/3},{t,0,4Pi}];. ParametricPlot3D[{v Sin[u],v Cos[u],u/3}, {u,0,4Pi},{v,-1,1}];. ParametricPlot3D[{Cos[u]Cos[v], Cos[u] Sin[v] , Sin[u]}, {u,-Pi/2,Pi}, {v,0,2Pi}];.

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