Advanced Engineering Mathematics Tenth Edition by Erwin Kreyszig 9781119446842 1119446848

Advanced Engineering Mathematics tenth edition Erwin Kreyszig – Ebook Instant Download/Delivery ISBN(s): 9781119455929, 1119455928, 9781119446842, 1119446848

Product details:

• ISBN 10: 1119446848
• ISBN 13: 9781119446842
• Author: Erwin Kreyszig

Advanced Engineering Mathematics, 10th Edition is known for its comprehensive coverage, careful and correct mathematics, outstanding exercises, and self-contained subject matter parts for maximum flexibility. The new edition continues with the tradition of providing instructors and students with a comprehensive and up-to-date resource for teaching and learning engineering mathematics, that is, applied mathematics for engineers and physicists, mathematicians and computer scientists, as well as members of other disciplines.

Table contents:

Part A: Ordinary Differential Equations (ODEs)

Chapter 1: First-Order ODEsOrder

Chapter 3: Higher Order Linear ODEs

Chapter 4: Systems of ODEs. Phase Plane. Qualitative Methods

Chapter 5: Series Solutions of ODEs. Special Functions

Chapter 6: Laplace Transforms

PART B: Linear Algebra. Vector CalculusAlgebra

Chapter 7: Linear Algebra: Matrices, Vectors, Determinants. Linear Systems

Chapter 8: Linear Algebra: Matrix Eigenvalue Problems

Chapter 8 Review Questions and Problems

Chapter 10: Vector Integral Calculus. Integral Theorems

PART C: Fourier Analysis. Partial Differential Equations (PDEs)

Chapter 11: Fourier Analysis

Chapter 12: Partial Differential Equations (PDEs)

PART D: Complex Analysis

Chapter 13: Complex Numbers and Functions. Complex Differentiation

Chapter 14: Complex Integration

Chapter 15: Power Series, Taylor Series

Chapter 16: Laurent Series. Residue Integration

Chapter 17: Conformal Mapping

Chapter 18: Complex Analysis and Potential TheoryNumeric

PART E: Numeric Analysis

Chapter 19: Numerics in General

Chapter 20: Numeric Linear Algebra

Chapter 21: Numerics for ODEs and PDEs

PART F: Optimization, Graphs

Chapter 22: Unconstrained Optimization. Linear Programming

Chapter 23: Graphs. Combinatorial Optimization

Chapter 24: Data Analysis. Probability Theory

Chapter 25: Mathematical Statistics

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