Numerical and Analytical Methods with MATLAB for Electrical Engineers

Dr. William Bober received his B.S. degree in civil engineering from the City College of New York (CCNY), his M.S. degree in engineering science from Pratt Institute, and his Ph.D. degree in engineering science and aerospace engineering from Purdue University. At Purdue University, he was on a Ford Foundation Fellowship; he was assigned to teach one engineering course each semester. After receiving his Ph.D., he went to work as an associate engineering physicist in the Applied Mechanics Department at Cornell Aeronautical Laboratory in Buffalo, New York. After leaving Cornell Labs, he was employed as an associate professor in the Department of Mechanical Engineering at the Rochester Institute of Technology (RIT) for the following twelve years. After leaving RIT, he obtained employment at Florida Atlantic University (FAU) in the Department of Mechanical Engineering. More recently, he transferred to the Department of Civil Engineering at FAU.Dr. Andrew Stevens, P.E., received his bachelor’s degree from Massachusetts Institute of Technology, his master’s degree from the University of Pennsylvania, and his doctorate from Columbia University, all in electrical engineering. He did his Ph.D. thesis work at IBM Research in the area of integrated circuit design for high-speed optical networks. While at Columbia, he lectured a course in the core undergraduate curriculum and won the IEEE Solid-State Circuits Fellowship. He has held R&D positions at AT&T Bell Laboratories in the development of T-carrier multiplexer systems and at Argonne National Laboratory in the design of radiation-hardened integrated circuits for colliding beam detectors. Since 2001, he has been president of Electrical Science, an engineering consulting firm specializing in electrical hardware and software.

• Numerical Methods for Electrical Engineers. MATLAB® Fundamentals. Matrices. Roots of Algebraic and Transcendental Equations. Numerical Integration. Numerical Integration of Ordinary Differential Equations. Laplace Transforms. Fourier Transforms and Signal Processing. Curve Fitting. Optimization. Simulink. Appendices. MATLAB® Function Index.

"… I like the organization of the book and especially the early focus on matrix fundamentals … use of examples is excellent. …The end-of chapter problems are good … presents some excellent frameworks for computational methods— students should be able to build their programs more effectively by understanding the core components and following the directions…"—Michael R. Gustafson II, Duke University, Durham, North Carolina, USA"… covers MATLAB® first while providing gradual introduction first and progressing to advanced concepts. Numerical methods, algorithms, and implementations are well explained."— Gleb V. Tcheslavski, Lamar University, Beaumont, Texas, USA