Sorry, I am pretty new to sympy and python in general.
I want to solve the following underdetermined linear system of equations:
x + y + z = 1 x + y + 2z = 3
import sympy as sym x,y = sym. symbols('x,y') eq1 = sym. Eq(x+y,5) eq2 = sym. Eq(x**2+y**2,17) result = sym.
You can either use linalg. inv() and linalg. dot() methods in chain to solve a system of linear equations, or you can simply use the solve() method. The solve() method is the preferred way.
SymPy recently got a new Linear system solver: linsolve
in sympy.solvers.solveset
, you can use that as follows:
In [38]: from sympy import * In [39]: from sympy.solvers.solveset import linsolve In [40]: x, y, z = symbols('x, y, z')
List of Equations Form:
In [41]: linsolve([x + y + z - 1, x + y + 2*z - 3 ], (x, y, z)) Out[41]: {(-y - 1, y, 2)}
Augmented Matrix Form:
In [59]: linsolve(Matrix(([1, 1, 1, 1], [1, 1, 2, 3])), (x, y, z)) Out[59]: {(-y - 1, y, 2)}
A*x = b Form
In [59]: M = Matrix(((1, 1, 1, 1), (1, 1, 2, 3))) In [60]: system = A, b = M[:, :-1], M[:, -1] In [61]: linsolve(system, x, y, z) Out[61]: {(-y - 1, y, 2)}
Note: Order of solution corresponds the order of given symbols.
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