Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor Introduction to Algorithms uniquely combines rigor and comprehensiveness The book covers a broad range of algorithms in depth yet makes their design
一 常用函数与 STL 二 重要公式与定理 1 Fibonacci Number 2 Lucas Number 3 Catalan Number 4 Stirling Number Second Kind 5 Bell Number 6 Stirling"s Approximation 7 Sum of Reciprocal Approximation 8 Young Tableau 9 整数划分 10 错排公式 11 三角形内切圆半径公式 12 三角形外接圆半径公式 13 圆內接四
This book presents statistical methods and models of importance to quantitative finance and links finance theory to market practice via statistical modeling and decision making Part I provides basic background in statistics which includes linear reg