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دانشجوعلاقه‌مند یادگیری
کتابخوان حرفه‌ایلذت مطالعه
نویسندهالهام‌گیری

Algorithms for Constrained Minimization of Smooth Nonlinear Functions (Mathematical programming study)

edited by A.G. Buckley and J.-L. Goffin; [contributors] R.M. Chamberlain ... [et al.]

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تحویل فوری
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ضمانت فایل
پشتیبانی

مشخصات کتاب

سال انتشار
۱۹۸۲
فرمت
PDF
زبان
انگلیسی
حجم فایل
۸٫۵ مگابایت
شابک
9780444862037، 9780444863904، 9783642008122، 9783642008139، 044486203X، 0444863907، 3642008127، 3642008135

دربارهٔ کتاب

The Watchdog Technique For Forcing Convergence In Algorithms For Constrained Optimization / R.m. Chamberlain [and Others] -- Reduced Quasi-newton Methods With Feasibility Improvement For Nonlinearly Constrained Optimization / D. Gabay -- A Superlinearly Convergent Algorithm For Constrained Optimization Problems / D.q. Mayne And E. Polak -- Computation Of The Search Direction In Constrained Optimization Algorithms / W. Murray And M.h. Wright -- A Projected Lagrangian Algorithm And Its Implementation For Sparse Nonlinear Constraints / B.a. Murtagh And M.a. Saunders -- On Some Experiments Which Delimits The Utility Of Nonlinear Programming Methods For Engineering Design / E. Sandgren And K.m. Ragsdell -- Determining Feasibility Of A Set Of Nonlinear Inequality Constraints / R. Schnabel -- Conjugate Gradient Methods For Linearly Constrained Nonlinear Programming / D.f. Shanno And R.e. Marsten -- Asymptotic Properties Of Reduction Methods Applying Linearly Constrained Reduced Problems / C. Van Der Hoek. Edited By A.g. Buckley And J.-l. Goffin. Based On The Tenth Mathematical Programming Symposium Held In Montreal In August, 1979. Includes Bibliographical References. The watchdog technique for forcing convergence in algorithms for constrained optimization / R.M. Chamberlain ... [et al.] Reduced quasi-Newton methods with feasibility improvement for nonlinearly constrained optimization / D. Gabay A superlinearly convergent algorithm for constrained optimization problems / D.Q. Mayne and E. Polak Computation of the search direction in constrained optimization algorithms / W. Murray and M.H. Wright A projected Lagrangian algorithm and its implementation for sparse nonlinear constraints / B.A. Murtagh and M.A. Saunders On some experiments which delimits the utility of nonlinear programming methods for engineering design / E. Sandgren and K.M. Ragsdell Determining feasibility of a set of nonlinear inequality constraints / R. Schnabel Conjugate gradient methods for linearly constrained nonlinear programming / D.F. Shanno and R.E. Marsten Asymptotic properties of reduction methods applying linearly constrained reduced problems / C. van der Hoek.

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