Search - Perspective

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[Mathimatics-Numerical algorithms] 角度计算 DL : 0: 简单的角度计算,能进行简单加减发运算-simple perspective, the simple addition and subtraction can be made Operational
Date : 2008-10-13 Size : 1.13kb User : 刘小末
[Mathimatics-Numerical algorithms] 透视仪 DL : 0: 一个acm算法题目问题描述：有一个黑盒子，可视为一个15×10的二维矩阵，里面有一些空隙，在二维矩阵中用0表示空隙，用1表示被占有。现有一个仪器，可以从4个方向对盒子进行分行透视：从左到右，从左下到右上，从下到上，从右下到左上。透视可得到该二维矩阵的该行1的个数。要求，还原此矩阵。输入：4行，每一行分别代表从左到右，从左下到右上，从下到上，从右下到左上透视所得的数据输出：该矩阵使用的方法是回溯法，具体见程序-a acm algorithm topic Problem description : a black box, as a 15 x 10 two-dimensional matrix, there are some gaps in two-dimensional matrix using 0 indicates the gap, with a show that occupies. An existing equipment, from the direction of four branches box for perspective : from left to right, from the lower left to upper right, from bottom to top, from the lower right to upper left. Perspective availability of the two-dimensional matrix of the line a number. Demand reduction of this matrix. Input : 4 firms on behalf of every line from left to right, from the lower left to upper right, from bottom to top, from the upper left to lower right perspective on data obtained from the output : the matrix method is the use of backtracking, see the specific procedures
Date : 2008-10-13 Size : 4.97kb User : 陶锐
[Mathimatics-Numerical algorithms] 角度计算 DL : 0: 简单的角度计算,能进行简单加减发运算-simple perspective, the simple addition and subtraction can be made Operational
Date : 2026-01-09 Size : 1kb User : 刘小末
[Mathimatics-Numerical algorithms] 透视仪 DL : 1: 一个acm算法题目问题描述：有一个黑盒子，可视为一个15×10的二维矩阵，里面有一些空隙，在二维矩阵中用0表示空隙，用1表示被占有。现有一个仪器，可以从4个方向对盒子进行分行透视：从左到右，从左下到右上，从下到上，从右下到左上。透视可得到该二维矩阵的该行1的个数。要求，还原此矩阵。输入：4行，每一行分别代表从左到右，从左下到右上，从下到上，从右下到左上透视所得的数据输出：该矩阵使用的方法是回溯法，具体见程序-a acm algorithm topic Problem description : a black box, as a 15 x 10 two-dimensional matrix, there are some gaps in two-dimensional matrix using 0 indicates the gap, with a show that occupies. An existing equipment, from the direction of four branches box for perspective : from left to right, from the lower left to upper right, from bottom to top, from the lower right to upper left. Perspective availability of the two-dimensional matrix of the line a number. Demand reduction of this matrix. Input : 4 firms on behalf of every line from left to right, from the lower left to upper right, from bottom to top, from the upper left to lower right perspective on data obtained from the output : the matrix method is the use of backtracking, see the specific procedures
Date : 2026-01-09 Size : 5kb User : 陶锐
[Mathimatics-Numerical algorithms] 06ze0880 DL : 0: 提出了一种基于角度信息的约束总体最小二乘无源定位算法. 该算法首先将非线性的观测方程转化为线性方程, 并分析了观测噪声对线性方程系数的影响, 从而能够将无源定位问题等价为一个约束总体最小二乘问题, 然后又将该有约束的优化问题变为无约束的优化问题, 并利用Newton 算法进行迭代求解, 最后分析了约束总体最小二乘算法的定位误差. 计算机仿真结果验证了该算法的可行性和有效性.-Based on the perspective of constrained total least squares information Passive Location Algorithm. The algorithm first observation of nonlinear equations into linear equations, and analysis of observational noise on the coefficient of linear equations, which can be Passive positioning of the equivalent bound for a total least squares problem, and then to have constrained optimization problem into unconstrained optimization problem and use iterative Newton algorithm, and finally an analysis of total least squares algorithm for constrained the positioning error. The computer simulation results verify the feasibility of the algorithm and effectiveness.
Date : 2026-01-09 Size : 599kb User : 陈建青
[Mathimatics-Numerical algorithms] fangzhuangwenti DL : 0: n*n的方砖最小要几块边长小于n的方砖才能铺满,用动态规划的角度解决此问题-n* n to a few of the smallest方砖side length less than n can be covered with the方砖with the perspective of dynamic programming to solve this problem
Date : 2026-01-09 Size : 154kb User : yzf
[Mathimatics-Numerical algorithms] sanweigenzong DL : 0: 三维纯角度被动跟踪定位的最小二乘_卡尔曼滤波算法-Pure three-dimensional perspective of the passive tracking of the least-squares Kalman filter algorithm
Date : 2026-01-09 Size : 22kb User :
[Mathimatics-Numerical algorithms] 7 DL : 0: An image is represented as a two-dimentional array of coefficients, each coefficient representing the brightness level in that point. When looking from a higher perspective, we can t differentiate between coefficients as more important ones, and lesser important ones. But thinking more intuitively, we can.
Date : 2026-01-09 Size : 123kb User : jemimah
[Mathimatics-Numerical algorithms] 12 DL : 0: An image is represented as a two-dimentional array of coefficients, each coefficient representing the brightness level in that point. When looking from a higher perspective, we can t differentiate between coefficients as more important ones, and lesser important ones. But thinking more intuitively, we can.
Date : 2026-01-09 Size : 340kb User : jemimah
[Mathimatics-Numerical algorithms] 16ppt DL : 0: An image is represented as a two-dimentional array of coefficients, each coefficient representing the brightness level in that point. When looking from a higher perspective, we can t differentiate between coefficients as more important ones, and lesser important ones. But thinking more intuitively, we can.
Date : 2026-01-09 Size : 867kb User : jemimah
[Mathimatics-Numerical algorithms] odel DL : 0: 基于能效视角的主导产业选择多参量GERT网络模型-Based on industry leading energy efficiency perspective to select multiple parameters GERT network model
Date : 2026-01-09 Size : 857kb User :
[Mathimatics-Numerical algorithms] Kalman-filter DL : 0: 卡尔曼滤波算法，主要用于处理从加速度传感器和陀螺仪获得的数据，从而得到一个真实的角度。此算法可以用在四轴飞行器，自平衡小车等方面。-Kalman filtering algorithm, mainly for processing data obtained from the acceleration sensor and the gyro, to obtain a true perspective. This algorithm can be used in four-axis aircraft, since the balance of the car and so on.
Date : 2026-01-09 Size : 1kb User : 申继鹏
[Mathimatics-Numerical algorithms] mycube DL : 0: 用C和Opengl写的小程序，实现了立方体的绘制以及视点和位置的变化，从不同角度观察立方体-Opengl with C and write a small procedure, rendering the achievement of the cube as well as the perspective and position changes, the cube different angles
Date : 2026-01-09 Size : 1kb User : chenag10257
[Mathimatics-Numerical algorithms] Data Mining Concepts and Techniques DL : 0: 数据挖掘：概念与技术，本书是一个导论，介绍什么是数据挖掘，什么是数据库中知识发现。书中的材料从数据库角度提供，特别强调发现隐藏在大型数据集中有趣数据模式的数据挖掘基本概念和技术。所讨论的实现方法主要面向可规模化的、有效的数据挖掘工具开发。(Data mining: concepts and techniques. This book is an introduction to what data mining is and what is knowledge discovery in databases. The material in the book is presented from a database perspective, with particular emphasis on discovering the basic concepts and techniques of data mining hidden in large data sets with interesting data patterns. The implementation method is mainly for large-scale and effective data mining tools.)
Date : 2026-01-09 Size : 6.34mb User : 猫熊