def __init__(self, m, n, structure=None, name=None):
"""
Class constructor.
:param name: String.
:param m: Number of rows.
:param n: Number of columns.
:param structure: Keyword (See cvxpy.defs).
"""
# Set name
if name == None:
name = BASE_VAR + str(cvxpy_scalar_var.i)
cvxpy_scalar_var.i += 1
# Call parent constructor
cvxpy_array.__init__(self, m, n)
# No structure
if structure == None:
for i in range(0, m, 1):
for j in range(0, n, 1):
v = cvxpy_scalar_var(name + '[' + str(i) + ',' + str(j) +
']')
self.data[i][j] = v
# Lower triangular
elif structure == LOWER_TRIANGULAR:
if m != n:
raise ValueError('Invalid dimensions')
for i in range(0, m, 1):
for j in range(0, i + 1, 1):
v = cvxpy_scalar_var(name + '[' + str(i) + ',' + str(j) +
']')
self.data[i][j] = v
# Upper triangular
elif structure == UPPER_TRIANGULAR:
if m != n:
raise ValueError('Invalid dimensions')
for i in range(0, m, 1):
for j in range(i, n, 1):
v = cvxpy_scalar_var(name + '[' + str(i) + ',' + str(j) +
']')
self.data[i][j] = v
# Symmetric
elif structure == SYMMETRIC:
if m != n:
raise ValueError('Invalid dimensions')
for i in range(0, m, 1):
for j in range(0, i + 1, 1):
v = cvxpy_scalar_var(name + '[' + str(i) + ',' + str(j) +
']')
self.data[i][j] = v
self.data[j][i] = v
# Error
else:
raise ValueError('Invalid structure')
def __init__(self,m,n,structure=None,name=None):
"""
Class constructor.
:param name: String.
:param m: Number of rows.
:param n: Number of columns.
:param structure: Keyword (See cvxpy.defs).
"""
# Set name
if name == None:
name = BASE_VAR+str(cvxpy_scalar_var.i)
cvxpy_scalar_var.i += 1
# Call parent constructor
cvxpy_array.__init__(self,m,n)
# No structure
if structure == None:
for i in range(0,m,1):
for j in range(0,n,1):
v = cvxpy_scalar_var(name+'['+str(i)+','+str(j)+']')
self.data[i][j] = v
# Lower triangular
elif structure == LOWER_TRIANGULAR:
if m!=n:
raise ValueError('Invalid dimensions')
for i in range(0,m,1):
for j in range(0,i+1,1):
v = cvxpy_scalar_var(name+'['+str(i)+','+str(j)+']')
self.data[i][j] = v
# Upper triangular
elif structure == UPPER_TRIANGULAR:
if m!=n:
raise ValueError('Invalid dimensions')
for i in range(0,m,1):
for j in range(i,n,1):
v = cvxpy_scalar_var(name+'['+str(i)+','+str(j)+']')
self.data[i][j] = v
# Symmetric
elif structure == SYMMETRIC:
if m!=n:
raise ValueError('Invalid dimensions')
for i in range(0,m,1):
for j in range(0,i+1,1):
v = cvxpy_scalar_var(name+'['+str(i)+','+str(j)+']')
self.data[i][j] = v
self.data[j][i] = v
# Error
else:
raise ValueError('Invalid structure')
def __init__(self,name,m,n,s):
self.name = name
# Call parent constructor
cvxpy_expression.__init__(self,m,n)
# No structure
if(s == None):
for i in range(0,m,1):
for j in range(0,n,1):
v = cvxpy_scalar_var(name+'['+str(i)+','+str(j)+']')
self[i,j] = v
# Lower triangular
elif(s == 'lower triangular'):
if(m!=n):
raise ValueError('Invalid dimensions')
for i in range(0,m,1):
for j in range(0,i+1,1):
v = cvxpy_scalar_var(name+'['+str(i)+','+str(j)+']')
self[i,j] = v
# Upper triangular
elif(s == 'upper triangular'):
if(m!=n):
raise ValueError('Invalid dimensions')
for i in range(0,m,1):
for j in range(i,n,1):
v = cvxpy_scalar_var(name+'['+str(i)+','+str(j)+']')
self[i,j] = v
# Symmetric
elif(s == 'symmetric'):
if(m!=n):
raise ValueError('Invalid dimensions')
for i in range(0,m,1):
for j in range(0,i+1,1):
v = cvxpy_scalar_var(name+'['+str(i)+','+str(j)+']')
self[i,j] = v
self[j,i] = v
# Error
else:
raise ValueError('Invalid structure')
def var(name=None, m=1, n=1, s=None):
"""
Create an optimization variable.
:param name: Variable name.
:type name: String
:param m: Rows.
:param n: Columns.
:param s: Structure of the variable.
:type s: String
:rtype: :class:`cvxpy_var` or :class:`cvxpy_scalar_var`.
"""
if ((m, n) == (1, 1)):
return cvxpy_scalar_var(name)
else:
return cvxpy_var(name, m, n, s)
def var(name=None,m=1,n=1,s=None):
"""
Create an optimization variable.
:param name: Variable name.
:type name: String
:param m: Rows.
:param n: Columns.
:param s: Structure of the variable.
:type s: String
:rtype: :class:`cvxpy_var` or :class:`cvxpy_scalar_var`.
"""
if((m,n) == (1,1)):
return cvxpy_scalar_var(name)
else:
return cvxpy_var(name,m,n,s)
