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{ "item_title" : "Novel Algorithms for Fast Statistical Analysis of Scaled Circuits", "item_author" : [" Amith Singhee", "Rob A. Rutenbar "], "item_description" : "Dedication. Introduction. 1 Background and Motivation. 2 Major Contributions. 3 Preliminaries. 4 Organization. 1. SILVR. 1 Motivation. 2 Prevailing response surface models. 3 Latent variables and ridge functions. 4 Approximation using ridge functions. 5 Projection pursuit regression. 6 SiLVR. 7 Experimental results. 8 Future work. 2. QUASI-MONTE CARLO. 1 Motivation. 2 Standard Monte Carlo. 3 Low-discrepancy sequences. 4 Quasi-Monte Carlo in high dimensions. 5 Quasi-Monte Carlo for circuits. 6 Experimental results. 7 Future work. 3. STATISTICAL BLOCKADE. 1 Motivation. 2 Modeling rare event statistics. 3 Statistical blockade. 4 Making statistical blockade practical. 5 Future Work. 4. CONCLUSION. Appendices. A ANOVA Derivations. References. Index.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/04/813/099/9048130999_b.jpg", "price_data" : { "retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Novel Algorithms for Fast Statistical Analysis of Scaled Circuits|Amith Singhee

Novel Algorithms for Fast Statistical Analysis of Scaled Circuits

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Overview

Dedication. Introduction. 1 Background and Motivation. 2 Major Contributions. 3 Preliminaries. 4 Organization. 1. SILVR. 1 Motivation. 2 Prevailing response surface models. 3 Latent variables and ridge functions. 4 Approximation using ridge functions. 5 Projection pursuit regression. 6 SiLVR. 7 Experimental results. 8 Future work. 2. QUASI-MONTE CARLO. 1 Motivation. 2 Standard Monte Carlo. 3 Low-discrepancy sequences. 4 Quasi-Monte Carlo in high dimensions. 5 Quasi-Monte Carlo for circuits. 6 Experimental results. 7 Future work. 3. STATISTICAL BLOCKADE. 1 Motivation. 2 Modeling rare event statistics. 3 Statistical blockade. 4 Making statistical blockade practical. 5 Future Work. 4. CONCLUSION. Appendices. A ANOVA Derivations. References. Index.

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Details

  • ISBN-13: 9789048130993
  • ISBN-10: 9048130999
  • Publisher: Springer
  • Publish Date: August 2009
  • Dimensions: 9.21 x 6.14 x 0.5 inches
  • Shipping Weight: 1.05 pounds
  • Page Count: 195

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