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  • Produktbild: Student Solutions Manual Advanced Engineering Mathematics, Volume 2
  • Produktbild: Student Solutions Manual Advanced Engineering Mathematics, Volume 2

Student Solutions Manual Advanced Engineering Mathematics, Volume 2 Study Guide, Volume 2: Chapters 13

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

27.05.2015

Verlag

Wiley

Seitenzahl

320

Maße (L/B/H)

27,9/21,5/2 cm

Gewicht

748 g

Sprache

Englisch

ISBN

978-1-118-26670-0

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

27.05.2015

Verlag

Wiley

Seitenzahl

320

Maße (L/B/H)

27,9/21,5/2 cm

Gewicht

748 g

Sprache

Englisch

ISBN

978-1-118-26670-0

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  • Produktbild: Student Solutions Manual Advanced Engineering Mathematics, Volume 2
  • Produktbild: Student Solutions Manual Advanced Engineering Mathematics, Volume 2
  • PART D: COMPLEX ANALYSIS...257

    Chapter 13. Numbers and Functions. Complex Differentiation...257

    13.1 Complex Numbers and Their Geometric Representation...258

    13.2 Polar Form of Complex Numbers. Powers and Roots...261

    13.3 Derivative. Analytic Function...267

    13.4 Cauchy-Riemann Equations. Laplace's Equation...269

    13.5 Exponential Function...274

    13.6 Trigonometric and Hyperbolic Functions. Euler's Formula...277

    13.7 Logarithm. General Power. Principal Value...279

    Chapter 14: Complex Integration...283

    14.1 Line Integral in the Complex Plane...283

    14.2 Cauchy's Integral Theorem...288

    14.3 Cauchy's Integral Formula...291

    14.4 Derivatives of Analytic Functions...295

    Chapter 15: Power Series, Taylor Series...298

    15.1 Sequences, Series, Convergence Tests...298

    15.2 Power Series...303

    15.3 Functions Given by Power Series...306

    15.4 Taylor and Maclaurin Series...309

    15.5 Uniform Convergence. Optional...312

    Chapter 16: Laurent Series. Residue Integration...316

    16.1 Laurent Series...316

    16.2 Singularities and Zeros. Infinity...320

    16.3 Residue Integration Method...322

    16.4 Residue Integration of Real Integrals...326

    Chapter 17: Conformal Mapping...332

    17.1 Geometry of Analytic Functions: Conformal Mapping...333

    17.2 Linear Fractional Transformations. (Möbius Transformations)...339

    17.3 Special Linear Fractional Transformations...343

    17.4 Conformal Mapping by Other Functions...347

    17.5 Riemann Surfaces. Optional...352

    Chapter 18: Complex Analysis and Potential Theory...353

    18.1 Electrostatic Fields...354

    18.2 Use of Conformal Mapping. Modeling...358

    18.3 Heat Problems...359

    18.4 Fluid Flow...361

    18.5 Poisson's Integral Formula for Potentials...364

    18.6 General Properties of Harmonic Functions. Uniqueness Theorem for the Dirchlet Problem...367

    PART E: NUMERIC ANALYSIS...373

    Chapter 19: Numerics in General...373

    19.1 Introduction...374

    19.2 Solution of Equations by Iteration...379

    19.3 Interpolation...384

    19.4 Spline Interpolation...389

    19.5 Numeric Integration and Differentiation...393

    Chapter 20: Numeric Linear Algebra...400

    20.1 Linear Systems: Gauss Elimination...400

    20.2 Linear Systems: LU-Factorization, Matrix Inversion...404

    20.3 Linear Systems: Solution by Iteration...410

    20.4 Linear Systems: Ill-Conditioning, Norms...415

    20.5 Least Squares Method...419

    20.6 Matrix Eigenvalue Problems: Introduction...424

    20.7 Inclusion of Matrix Eigenvalues...424

    20.8 Power Method for Eigenvalues...429

    20.9 Tridiagonalization and QR-Factorization...434

    Chapter 21: Numerics for ODEs and PDEs...442

    21.1 Methods for First-Order ODEs...442

    21.2 Multistep Methods...445

    21.3 Methods for Systems and Higher Order ODEs...446

    21.4 Methods for Elliptic PDEs...452

    21.5 Neumann and Mixed Problems. Irregular Boundary...454

    21.6 Methods for Parabolic PDEs...459

    21.7 Method for Hyperbolic PDEs...462

    PART F: OPTIMIZATION, GRAPHS...465

    Chapter 22: Unconstrained Optimization. Linear Programming...465

    22.1 Basic Concepts. Unconstrained Optimization: Method of Steepest Descent...465

    22.2 Linear Programming...471

    22.3 Simplex Method...474

    22.4 Simplex Method. Difficulties...479

    Chapter 23: Graphs. Combinatorial Optimization...482

    23.1 Graphs and Digraphs...482

    23.2 Shortest Path Problems. Complexity...484

    23.3 Bellman's Principle. Dijkstra's Algorithm...487

    23.4 Shortest Spanning Trees: Greedy Algorithm...490

    23.5 Shortest Spanning Trees: Prim's Algorithm...493

    23.6 Flows in Networks

    23.7 Maximum Flow: Ford-Fulkerson Algorithm...497

    23.8 Bipartite Graphs. Assignment Problems...499

    PART G: PROBABILITY, STATISTICS...502

    Chapter 24: Data Analysis, Probability Theory...502

    24.1 Data Representation. Average. Spread...502

    24.2 Experiments, Outcomes, Events...507

    24.3 Probability...509

    24.4 Permutations and Combinations...512

    24.5 Random Variables. Probability Distributions...516

    24.6 Mean and Variance of a Distribution...520

    24.7 Binomial, Poisson, and Hypergeometric Distributions...523

    24.8 Normal Distribution...526

    24.9 Distribution of Several Random Variables...530

    Chapter 25: Mathematical Statistics...533

    25.1 Introduction. Random Sampling...533

    25.2 Point Estimation of Parameters...533

    25.3 Confidence Intervals...536

    25.4 Testing of Hypotheses. Decisions...540

    25.5 Quality Control...543

    25.6 Acceptance Sampling...544

    25.7 Goodness of Fit. Chi-Square Test...547

    25.8 Nonparametric Tests...549

    25.9 Regression. Fitting Straight Lines. Correlation...551