A Design Centering Algorithm for Nonconvex Regions of Acceptability

Vidigal, L.M.

doi:10.1109/tcad.1982.1269992

Cited by 41 publications

(11 citation statements)

References 18 publications

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“…programming problems are also frequently encountered in engineering and physics (cf., e.g., Giannessi et al (1979), Heron and Sermange (1982), Mahjoub (1983), Vidigal and Director (1982), Strodiot et al (1985 and, Polak and Vincentelli (1979), Toland (1978), Tuy (1986 and). programming problems are also frequently encountered in engineering and physics (cf., e.g., Giannessi et al (1979), Heron and Sermange (1982), Mahjoub (1983), Vidigal and Director (1982), Strodiot et al (1985 and, Polak and Vincentelli (1979), Toland (1978), Tuy (1986 and).…”

Section: Complementarity Problems and Concave Minimizationmentioning

confidence: 99%

“…Other examples arise from VLSI chip design (Watanabe (1984», in the fabrication of integrated circuits (Vidigal and Director (1982», and in diamond cutting (Nguyen et al (1985». Other examples arise from VLSI chip design (Watanabe (1984», in the fabrication of integrated circuits (Vidigal and Director (1982», and in diamond cutting (Nguyen et al (1985».…”

Section: Brief Survey Of Direct Applicatiodbmentioning

confidence: 99%

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Global Optimization

Horst¹,

Tụy²

1996

566

101

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Hor.t, Relner:Global optlmization : determinlstic approaches / Reiner Horst ; Hoang Tuy. -3., rev. and enl. ed.The use of registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. SPIN 10517261 42.12202 -5 43 21 o -Printed on acid-free paper PREFACE TO THE SECOND EDITIONThe main contents and character of the monograph did not change with respect to the first edition. However, within most chapters we incorporated quite a number of modifications which take into account the recent development of the field, the very valuable suggestions and comments that we received from numerous colleagues and students as well as our own experience while using the book. Some errors and misprints in the first edition are also corrected. May 1992Reiner Horst Hoang Tuy XII Part B treats concave minimization and reverse convex programming subject to linear and reverse convex constraints. In this part we present additional detail on specially structured problems. Examples include decomposition, projection, separability, and parametrie approaches.In Part C we consider rather general global optimization problems. We study d.c.-programming and Lipschitz optimization, and present our most recent attempts at solving more general global optimization problems. In this part, the specializations most naturally include biconvex programming, indefinite "all-quadratic" optimization, and design centering as encountered in engineering design.Each chapter begins with a summary of its contents.The technical prerequisites for this book are rather modest, and are within reach of most advanced undergraduate university programs. They include asound knowledge of elementary real analysis, linear algebra, and convexity theory. No familiarity with any other branch of mathematics is required.In preparing this book, we have received encouragement, advice, and suggestions from a large group of individuals. For this we are grateful to

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Section: Complementarity Problems and Concave Minimizationmentioning

confidence: 99%

Section: Brief Survey Of Direct Applicatiodbmentioning

confidence: 99%

Global Optimization

Horst¹,

Tụy²

1996

566

101

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“…The voltage at each output line [ Fig. 7(c)] is shown for the address lines (ADDR[0]-ADDR [5]) set to all zeros [ Fig. 7(a)] and for strobing the input data lines (In[0]-In [7]) from all ones to all zeros [ Fig.…”

Section: Simulation Examplementioning

confidence: 99%

“…8 shows, the maximum amount of write-access time skew is heavily dependent on the input address vector. The oscillating behavior is especially apparent on address line Out [5]. The 64 8 layout is organized into two blocks of 32 8 with each block having separate decoder circuitry and hence different layout environments.…”

Section: Simulation Examplementioning

confidence: 99%

“…The 64 8 layout is organized into two blocks of 32 8 with each block having separate decoder circuitry and hence different layout environments. The oscillating behavior in Out [5] is most likely caused by differences in the channel lengths in each 32 8 block's decoding circuitry. In this way, the results of simulating the impact of spatial variation on circuit performance are heavily dependent on the input test vectors used during circuit simulation.…”

Section: Simulation Examplementioning

confidence: 99%

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