Inverse Engineering Handbook, Second Edition, is a comprehensive resource that details methods of determining a “cause” from an observed “effect,” allowing readers to understand, implement, and benefit from a variety of problem-solving techniques.
Leading experts in inverse problems have joined to produce a new edition of Inverse Engineering Handbook. Along with the revision of the existing chapters, this second edition includes four new chapters: a new chapter on the classical Tikhonov regularization technique, a new chapter on the topic of filter coefficient concepts for linear problems, a chapter dedicated to Bayesian solution of inverse problems, and finally, a new chapter on machine learning and artificial intelligence. The focus of most of the work in this new edition is on parabolic and elliptic problems typified by transient and steady-state heat conduction; however, the scope of application extends to any mathematically similar problems (in chemical transport, mass transfer, etc.).
Engineering researchers interested in inverse problems, regardless of their specialty, will find the Inverse Engineering Handbook to be a unique and invaluable compendium of up-to-date techniques.