课题基金 / 基金详情

Parallel algorithms, data structures and libraries for polynomials

Parallel algorithms, data structures and libraries for polynomials
多项式的并行算法、数据结构和库
批准号:
437389-2012
负责人:
Monagan, Michael
金额:
$5.83万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2012
资助国家:
加拿大
项目状态:
已结题
起止时间:
2012-01-01 至 2013-12-31

项目摘要

项目成果

Monagan, Michael的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
Maple is a computer software system for doing exact and approximate computations in mathematics. Unlike most mathematical and statistical software, Maple can compute and manipulate mathematical formulas, that is, it can do algebra with formulas as well as compute with numbers. Maple was originally developed at the University of Waterloo and is now being developed and sold by Maplesoft, an Ontario based company. Maple is used by mathematicians, scientists and engineers for teaching, research and development. Maple's main commercial competitors are Mathematica (and Wolfram alpha) and MATLAB, both US based companies.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Fast Algorithms and Libraries for Polynomials.
  • 批准号:
    RGPIN-2019-04441
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.5万
  • 财政年份:
    2022
  • 负责人:
    Monagan, Michael
  • 依托单位:
Fast Algorithms and Libraries for Polynomials.
  • 批准号:
    RGPIN-2019-04441
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.5万
  • 财政年份:
    2021
  • 负责人:
    Monagan, Michael
  • 依托单位:
Fast Algorithms and Libraries for Polynomials.
  • 批准号:
    RGPIN-2019-04441
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.5万
  • 财政年份:
    2020
  • 负责人:
    Monagan, Michael
  • 依托单位:
Fast Algorithms and Libraries for Polynomials.
  • 批准号:
    RGPIN-2019-04441
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.5万
  • 财政年份:
    2019
  • 负责人:
    Monagan, Michael
  • 依托单位:
国内基金
海外基金
固定参数可解算法在平面图问题的应用以及和整数线性规划的关系
  • 批准号:
    60973026
  • 项目类别:
    面上项目
  • 资助金额:
    32.0万元
  • 批准年份:
    2009
  • 负责人:
    鲁道夫
  • 依托单位:
Computational Methods for Analyzing Toponome Data