Practical Problems in VLSI Physical Design Automation
Sung Kyu Lim
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Description for Practical Problems in VLSI Physical Design Automation
Paperback. The author believes that the best way to learn new algorithms is by working through a small example by hand. That's why this book contains problems and solutions related to various well-known algorithms widely used in VLSI physical design automation. Num Pages: 264 pages, biography. BIC Classification: TJFC; U. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 15. Weight in Grams: 456.
Practical Problems in VLSI Physical Design Automation contains problems and solutions related to various well-known algorithms used in VLSI physical design automation. Dr. Lim believes that the best way to learn new algorithms is to walk through a small example by hand. This knowledge will greatly help understand, analyze, and improve some of the well-known algorithms. The author has designed and taught a graduate-level course on physical CAD for VLSI at Georgia Tech. Over the years he has written his homework with such a focus and has maintained typeset version of the solutions.
Practical Problems in VLSI Physical Design Automation contains problems and solutions related to various well-known algorithms used in VLSI physical design automation. Dr. Lim believes that the best way to learn new algorithms is to walk through a small example by hand. This knowledge will greatly help understand, analyze, and improve some of the well-known algorithms. The author has designed and taught a graduate-level course on physical CAD for VLSI at Georgia Tech. Over the years he has written his homework with such a focus and has maintained typeset version of the solutions.
Product Details
Format
Paperback
Publication date
2010
Publisher
Springer Netherlands
Number of pages
264
Condition
New
Number of Pages
264
Place of Publication
Dordrecht, Netherlands
ISBN
9789048176823
SKU
V9789048176823
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Sung Kyu Lim
Dr. Sung Kyu Lim received his PhD at UCLA in Los Angeles, USA and he majored in VLSI CAD. He recently received tenure at Georgia Tech.
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