Module: CsrMatrix::Arithmetic
Constant Summary collapse
- C =
Contracts
Class Method Summary collapse
-
.included(exceptions) ⇒ Object
Brings in exception module for exception testing.
Instance Method Summary collapse
- #count_in_dim ⇒ Object
- #inverse ⇒ Object
- #inverse_multiply(matrix) ⇒ Object
- #is_same_dim(matrix) ⇒ Object
- #matrix_add(matrix) ⇒ Object
- #matrix_division(matrix) ⇒ Object
- #matrix_multiply(matrix) ⇒ Object
- #matrix_subtract(matrix) ⇒ Object
- #matrix_vector(vector) ⇒ Object
- #max_row(array) ⇒ Object
- #multiply_csr(matrix) ⇒ Object
- #multiply_inverse(matrix) ⇒ Object
- #scalar_add(value) ⇒ Object
- #scalar_division(value) ⇒ Object
- #scalar_exp(value) ⇒ Object
- #scalar_multiply(value) ⇒ Object
- #scalar_subtract(value) ⇒ Object
- #t ⇒ Object
- #transpose ⇒ Object
Class Method Details
.included(exceptions) ⇒ Object
Brings in exception module for exception testing
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# File 'lib/csrmatrix/arithmetic.rb', line 12 def self.included(exceptions) exceptions.send :include, Exceptions end |
Instance Method Details
#count_in_dim ⇒ Object
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# File 'lib/csrmatrix/arithmetic.rb', line 282 def count_in_dim() is_invariant? # helper function, identifies the number of expected values in matrix # eg. 2x2 matrix returns 4 values return self.rows * self.columns end |
#inverse ⇒ Object
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# File 'lib/csrmatrix/arithmetic.rb', line 66 def inverse() is_invariant? # sets the inverse of this matrix # pre existing matrix (matrix.not_null?) # post inverted matrix m = Matrix.rows(self.decompose) self.build_from_array(m.inv().to_a()) end |
#inverse_multiply(matrix) ⇒ Object
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# File 'lib/csrmatrix/arithmetic.rb', line 266 def inverse_multiply(matrix) # divides (multiply by the inverse of ) a matrix to existing matrix # sets x * y^-1, where x is your matrix and y is the accepted matrix is_invariant? if !matrix.square? || !self.square? raise Exceptions::MatrixDimException.new, "Matrices does not have usable dimensions; cannot divide." return false end tmpmatrix = TwoDMatrix.new tmpmatrix = self tmpmatrix.inverse() return matrix.multiply_csr(tmpmatrix) end |
#is_same_dim(matrix) ⇒ Object
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# File 'lib/csrmatrix/arithmetic.rb', line 182 def is_same_dim(matrix) # helper function to determine dim count is equal is_invariant? return self.dimensions() == matrix.dimensions() end |
#matrix_add(matrix) ⇒ Object
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# File 'lib/csrmatrix/arithmetic.rb', line 189 def matrix_add(matrix) # adds a matrix to existing matrix is_invariant? if !self.is_same_dim(matrix) raise Exceptions::MatrixDimException.new, "Matrix does not have same dimensions; cannot add." return false end res = Array.new(@rows) { Array.new(@columns, 0) } row_idx = 0 cnta = 0 # total logged entries for matrix a cntb = 0 while row_idx < @rows # eg. 0 1 2 rowa = @row_ptr[row_idx + 1] # eg. 0 2 4 7 rowb = matrix.row_ptr[row_idx + 1] while cnta < rowa # keep adding values to res until they're equal res[row_idx][@col_ind[cnta]] += @val[cnta] cnta += 1; end while cntb < rowb res[row_idx][@col_ind[cntb]] += matrix.val[cntb] cntb += 1; end row_idx += 1; end return res end |
#matrix_division(matrix) ⇒ Object
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# File 'lib/csrmatrix/arithmetic.rb', line 290 def matrix_division(matrix) # linear division of one matrix to the next is_invariant? if matrix.val.count() != matrix.count_in_dim() raise Exceptions::DivideByZeroException.new, "Calculations return divide by zero error." return false end if !self.is_same_dim(matrix) raise Exceptions::MatrixDimException.new, "Matrix does not have same dimensions; cannot add." return false end res = Array.new(@rows) { Array.new(@columns, 0) } row_idx = 0 cnta = 0 # total logged entries for matrix a cntb = 0 while row_idx < @rows # eg. 0 1 2 rowa = @row_ptr[row_idx + 1] # eg. 0 2 4 7 rowb = matrix.row_ptr[row_idx + 1] while cnta < rowa # keep adding values to res until they're equal res[row_idx][@col_ind[cnta]] += @val[cnta] cnta += 1; end while cntb < rowb res[row_idx][@col_ind[cntb]] = res[row_idx][@col_ind[cntb]].to_f / matrix.val[cntb] cntb += 1; end row_idx += 1; end return res end |
#matrix_multiply(matrix) ⇒ Object
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# File 'lib/csrmatrix/arithmetic.rb', line 143 def matrix_multiply(matrix) # multiply dense (non-dense) matrix to csr matrix [eg. [1, 2]] x 2d array is_invariant? # pre matrix to multiply, existing matrix (matrix.not_null?) # post array holding resulting matrix res = Array.new(max_row(matrix)) { Array.new(@columns, 0) } # first denotes row, second denotes columns n = matrix.length i = 0 # res = dense X csr csr_row = 0 # Current row in CSR matrix while i < n do startv = @row_ptr[i] endv = @row_ptr[i + 1] j = startv while j < endv do col = @col_ind[j] csr_value = @val[j] k = 0 while k < n do dense_value = matrix[k][csr_row] res[k][col] += csr_value * dense_value k += 1 end j += 1 end csr_row += 1 i += 1 end return res end |
#matrix_subtract(matrix) ⇒ Object
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# File 'lib/csrmatrix/arithmetic.rb', line 219 def matrix_subtract(matrix) # subtracts a matrix to existing matrix is_invariant? if !self.is_same_dim(matrix) raise Exceptions::MatrixDimException.new, "Matrix does not have same dimensions; cannot subtract." return false end res = Array.new(@rows) { Array.new(@columns, 0) } row_idx = 0 cnta = 0 # total logged entries for matrix a cntb = 0 while row_idx < @rows # eg. 0 1 2 rowa = @row_ptr[row_idx + 1] # eg. 0 2 4 7 rowb = matrix.row_ptr[row_idx + 1] while cnta < rowa # keep adding values to res until they're equal res[row_idx][@col_ind[cnta]] += @val[cnta] cnta += 1; end while cntb < rowb res[row_idx][@col_ind[cntb]] -= matrix.val[cntb] cntb += 1; end row_idx += 1; end return res end |
#matrix_vector(vector) ⇒ Object
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# File 'lib/csrmatrix/arithmetic.rb', line 124 def matrix_vector(vector) # dev based on http://www.mathcs.emory.edu/~cheung/Courses/561/Syllabus/3-C/sparse.html # multiplies the matrix by a vector value (in array form) is_invariant? result = Array.new(vector.length, 0) i = 0 while i < vector.length do k = @row_ptr[i] while k < @row_ptr[i+1] do result[i] = result[i] + @val[k] * vector[@col_ind[k]] k += 1 end i += 1 end return result end |
#max_row(array) ⇒ Object
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# File 'lib/csrmatrix/arithmetic.rb', line 324 def max_row(array) # Identifies the 'row' value of an array (eg. the number of entries in a row) is_invariant? values = array max_count = 0 values.each_index do |i| max_count += 1 end return max_count end |
#multiply_csr(matrix) ⇒ Object
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# File 'lib/csrmatrix/arithmetic.rb', line 175 def multiply_csr(matrix) # multiply two csr together - ref: http://www.mcs.anl.gov/papers/P5007-0813_1.pdf is_invariant? return matrix.matrix_multiply(self.decompose()) end |
#multiply_inverse(matrix) ⇒ Object
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# File 'lib/csrmatrix/arithmetic.rb', line 249 def multiply_inverse(matrix) # divides (multiply by the inverse of ) a matrix to existing matrix # sets y * x^-1, where x is your matrix and y is the accepted matrix is_invariant? if !matrix.square? || !self.square? raise Exceptions::MatrixDimException.new, "Matrices does not have usable dimensions; cannot divide." return false end tmpmatrix = TwoDMatrix.new tmpmatrix = matrix tmpmatrix.inverse() return self.multiply_csr(tmpmatrix) end |
#scalar_add(value) ⇒ Object
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# File 'lib/csrmatrix/arithmetic.rb', line 27 def scalar_add(value) # manipulate the matrix by adding a value at each index is_invariant? @val.each_index do |i| @val[i] = @val[i] + value end end |
#scalar_division(value) ⇒ Object
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# File 'lib/csrmatrix/arithmetic.rb', line 47 def scalar_division(value) is_invariant? # manipulate the matrix by dividing the value at each index # post boolean, updated matrix (in floats, if previously was not) @val.each_index do |i| @val[i] = @val[i] / value.to_f end end |
#scalar_exp(value) ⇒ Object
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# File 'lib/csrmatrix/arithmetic.rb', line 57 def scalar_exp(value) is_invariant? # manipulate the matrix by finding the exponential at each index @val.each_index do |i| @val[i] = @val[i] ** value end end |
#scalar_multiply(value) ⇒ Object
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# File 'lib/csrmatrix/arithmetic.rb', line 17 def scalar_multiply(value) # multiply the matrix by a scalar value is_invariant? @val.each_index do |i| @val[i] = @val[i] * value end end |
#scalar_subtract(value) ⇒ Object
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# File 'lib/csrmatrix/arithmetic.rb', line 37 def scalar_subtract(value) is_invariant? # manipulate the matrix by subtracting the value at each index @val.each_index do |i| @val[i] = @val[i] - value end end |
#t ⇒ Object
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# File 'lib/csrmatrix/arithmetic.rb', line 116 def t() is_invariant? # transpose the matrix # post array of decomposed matrix values self.transpose() end |
#transpose ⇒ Object
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# File 'lib/csrmatrix/arithmetic.rb', line 76 def transpose() is_invariant? # transpose the matrix new_row_ptr = Array.new(self.columns+1, 0) new_col_ind = Array.new(self.col_ind.count(), 0) new_val = Array.new(self.val.count(), 0) current_row = 0 current_column = 0 for i in 0..self.columns-1 for j in 0..self.col_ind.count(i)-1 # get the row index = self.col_ind.find_index(i) self.col_ind[index] = -1 for k in 1..self.row_ptr.count()-1 if self.row_ptr[k-1] <= index && index < self.row_ptr[k] current_row = k break end end # update values new_row_ptr[i+1] += 1 new_val[current_column] = val[index] new_col_ind[current_column] = current_row-1 current_column += 1 end end # fill in row_ptr for i in 1..self.rows-1 self.row_ptr[i] = new_row_ptr[i] + new_row_ptr[i-1] end @col_ind = new_col_ind @val = new_val end |