A better approach is to use a while loop to collect input, and only exit the while loop after receiving valid data. num1 = 0 while num1 == 0: value = input(…. if ValidateInput(value): num1 = value num2 = 0 while num2 == 0: value = input(…. if ValidateInput(value): num2 = value # do other … Read more
One option is to use the APIs that commercial solvers like CPLEX and Gurobi provide for C/C++. Essentially, these APIs let you build the model in logical chunks (objective function, constraints, etc.). The APIs do the work of translating the logic of the model to the matrices and vectors that the solver actually needs in … Read more
I check from sympy import * var(‘m’) def myUnitVector(myPoint3D): myL=myPoint3D.distance((0, 0)) return Point3D(myPoint3D.x/myL,myPoint3D.y/myL,myPoint3D.z/myL) def myHtoP(myHairetu): return Point3D(myHairetu[0],myHairetu[1],myHairetu[2]) def my3PLaneIntersection(PTO,PTA,PTB,PTC,RA,RB,RC): vA =myUnitVector(myHtoP(Plane(PTO, PTB, PTC).normal_vector)) PLA=Plane(PTO + RA * vA, normal_vector=vA) vB =myUnitVector(myHtoP(Plane(PTO, PTC, PTA).normal_vector)) PLB=Plane(PTO + RB * vB, normal_vector=vB) vC =myUnitVector(myHtoP(Plane(PTO, PTA, PTB).normal_vector)) PLC=Plane(PTO + RC * vC, normal_vector=vC) return PLC.intersection(PLB.intersection(PLA)[0]) def myProjection(PTO,PTA,PTC,PTOO): v = … Read more