a) x1 = complex(real_part, imaginary_part) x2 = complex(real_part, -imaginary_part) print(f'方程有两个不同的虚数根:x1={x1:.2f}, x2={x2:.2f}') return x1, x2 # 使用这个类来解方程 a = 1, b = -8, c = 12 equation_solver = QuadraticEquation(1, -8, 12) roots = ...
classDiagram class EquationSolver { +solveLinear(A: Matrix, B: Matrix): Solution +solveNonlinear(equations: List[Equation]): Solution } class numpySolver { +linalg.solve(A: Matrix, B: Matrix): Solution } class sympySolver { +solve(equations: List[Equation], variables: List[Symbol]): Soluti...
EquationSolver+solve_equation(equation: Equation) : SolutionEquation+solve() : SolutionSolution-roots : List[float]-num_solutions : int-message : str+get_roots() : List[float]+get_num_solutions() : int+get_message() : str 在这个类图中,EquationSolver是方程求解器的主要类,它包含一个solve_eq...
二次方程计算器是一个用于解决二次方程的数学问题的工具。在Python中,可以通过编写代码来实现一个简单的二次方程计算器。 以下是一个示例代码,用于计算二次方程的根: 代码语言:txt 复制 import math def quadratic_equation_solver(a, b, c): discriminant = b**2 - 4*a*c if discriminant > 0: root1 =...
解方程(Solver); 矩阵(Matrices); 几何(geometry); 级数(Series); 在更多的数学领域中,SymPy 可以支持的内容包括但不限于: 范畴论(Category Theory); 微分几何(Differential Geometry); 常微分方程(ODE); 偏微分方程(PDE); 傅立叶变换(Fourier Transform); ...
complex(real_part, imaginary_part) x2 = complex(real_part, -imaginary_part) print(f'方程有两个不同的虚数根:x1={x1:.1f}, x2={x2:.2f}') return x1, x2 # 使用这个类来解方程 a = 1, b = -8, c = 12 equation_solver = QuadraticEquation(1, -8, 12) roots = equation_solver....
dx=0.00001tol=0.0000001initX=0deff(x):return(x+2)*(x+3)*(x+4)-990deffPrime(x,f,dx)...
图片来源:https://www.stochasticlifestyle.com/comparison-differential-equation-solver-suites-matlab-r-julia-python-c-fortran/#:~:text=For%20the%20current%20state%20of%20the%20reproducible%20benchmarks 下面以一篇论文中的仿真实验为例,详情可参考 ...
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def root(a, b, c, highmiddle=True): #首先保证接收的参数a,b,c都是数字，并且a不等于0 ...