design optimization using matlab von suresh krishnan (16 Ergebnisse)

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

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Hardcover. Zustand: Brand New. 400 pages. 10.00x7.25x1.00 inches. In Stock.

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Zustand: As New. Unread book in perfect condition.

Hardcover. Zustand: new. Hardcover. A unique text integrating numerics, mathematics and applications to provide a hands-on approach to using optimization techniques, this mathematically accessible textbook emphasises conceptual understanding and importance of theorems rather than elaborate proofs. It allows students to develop fundamental optimization methods before delving into MATLAB's optimization toolbox, and to link MATLAB's results with the results from their own code. Following a practical approach, the text demonstrates several applications, from error-free analytic examples to truss (size) optimization, and 2D and 3D shape optimization, where numerical errors are inevitable. The principle of minimum potential energy is discussed to highlight the deep relationship between engineering and optimization. MATLAB code in every chapter illustrates key concepts and the text demonstrates the coupling between MATLAB and SOLIDWORKS for design optimization. A wide variety of optimization problems are covered including constrained non-linear, linear-programming, least-squares, multi-objective, and global optimization problems. Uniquely integrates numerics, mathematics and applications of optimization, with MATLAB code illustrating every concept. Requiring only basic undergraduate-level mathematics and no prior background in optimization, it is an accessible, hands-on text for senior undergraduates, junior graduate students and practicing engineers. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Zustand: new. Hardcover. A unique text integrating numerics, mathematics and applications to provide a hands-on approach to using optimization techniques, this mathematically accessible textbook emphasises conceptual understanding and importance of theorems rather than elaborate proofs. It allows students to develop fundamental optimization methods before delving into MATLAB's optimization toolbox, and to link MATLAB's results with the results from their own code. Following a practical approach, the text demonstrates several applications, from error-free analytic examples to truss (size) optimization, and 2D and 3D shape optimization, where numerical errors are inevitable. The principle of minimum potential energy is discussed to highlight the deep relationship between engineering and optimization. MATLAB code in every chapter illustrates key concepts and the text demonstrates the coupling between MATLAB and SOLIDWORKS for design optimization. A wide variety of optimization problems are covered including constrained non-linear, linear-programming, least-squares, multi-objective, and global optimization problems. Uniquely integrates numerics, mathematics and applications of optimization, with MATLAB code illustrating every concept. Requiring only basic undergraduate-level mathematics and no prior background in optimization, it is an accessible, hands-on text for senior undergraduates, junior graduate students and practicing engineers. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Uniquely integrates numerics, mathematics and applications of optimization, with MATLAB (R) code illustrating every concept. Requiring only basic undergraduate-level mathematics and no prior background in optimization, it is an accessible, hands-on text for senior undergraduates, junior graduate students and practicing engineers.

Zustand: New.

Hardcover. Zustand: Brand New. 400 pages. 10.00x7.25x1.00 inches. In Stock.

Hardcover. Zustand: new. Hardcover. A unique text integrating numerics, mathematics and applications to provide a hands-on approach to using optimization techniques, this mathematically accessible textbook emphasises conceptual understanding and importance of theorems rather than elaborate proofs. It allows students to develop fundamental optimization methods before delving into MATLAB's optimization toolbox, and to link MATLAB's results with the results from their own code. Following a practical approach, the text demonstrates several applications, from error-free analytic examples to truss (size) optimization, and 2D and 3D shape optimization, where numerical errors are inevitable. The principle of minimum potential energy is discussed to highlight the deep relationship between engineering and optimization. MATLAB code in every chapter illustrates key concepts and the text demonstrates the coupling between MATLAB and SOLIDWORKS for design optimization. A wide variety of optimization problems are covered including constrained non-linear, linear-programming, least-squares, multi-objective, and global optimization problems. Uniquely integrates numerics, mathematics and applications of optimization, with MATLAB code illustrating every concept. Requiring only basic undergraduate-level mathematics and no prior background in optimization, it is an accessible, hands-on text for senior undergraduates, junior graduate students and practicing engineers. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Uniquely integrates numerics, mathematics and applications of optimization, with MATLAB (R) code illustrating every concept. Requiring only basic undergraduate-level mathematics and no prior background in optimization, it is an accessible, hands-on text for.