76393ac9-bcf1-4589-9ea4-c46f2bfb4165 28 4 5 decimal
&[DATE] &[TIME] - &[FILENAME]
&[PAGENUM] / &[COUNT]
int(), diff(), sum() and lim() now use Maxima 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 iVBORw0KGgoAAAANSUhEUgAAAWwAAABcCAYAAABKko+gAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAAbqSURBVHhe7dSNjuUgCEDhef+Xns1uQpZYVGj9wfZ8Ccm0WmW46M8vAOAIXNgAcAgubAA4BBc2AByCCxsADsGFDQCH4MIGgENwYQPAIbiwAeAQXNgAcAgubAA4BBc2ABzi1Rf2z8/PvwCAN+DCBrCVnFPOat8nLuzTAuNZdd4VX2D9355AGxf2YfE1Vg2I9wbaPnFhn0Q3LzEvdrFyeXN4Red/VfoKPfkhZzfB7PVLst8XY5TR62EMfheflBWSH0/HHU++9Zi9vofksDsPS8a8dueUsSYZUBefdBWSH07HXU+/75m9vofksDsPS8a8dueUrSZZ8slWl6zSVWjkDze7CWav75Ulj1LGvHbnlK0mWfLJVpesLhXqFU7GRxVXr6djhJFrWWav75Ulj1LGvHbnlK0mWfLJVpesLhVqFU7GWnMiyvV0jDByLcvs9b2y5FHKlpfkszOnrDXZLVtdsrpUqFU4GWvNidDr6HXl3VOj1yvNXDsiSx6a5JQprwz5UBNbtrpkdalQrXDyXsdT1lr6nY67nn7fMnPtiCx5aORky1aXLPlkq0tWlwpZhZN3Okax1tP76Ljjybc9M9eOyJKHRk62bHXJkk+2umR1qZAUThdPvyvHnuqtp/dszau5+53HzLUjsuShrcxJ9urttzKnmgw5aFnyyVaXrC4VksLp4unncuwp73oyL7r3nW+8Zq4dkSUPbWVOsldvz974Chly0LLkk60uWV0qJIWT4tWeR4msJ3Mj+0fnR8xcOyJLHtqOnGTP2r47ciplyEHLkk+2umR1qZAUTopXex4lup7M934TXT8imssskRxW5btqn1Jr3x05lXvuyKElSz7Z6pLVpUJSuDJE+fxUdD2Z7/0mur6HXnPG+j3lnp4cZI5n7gir9inp/7Hc33o3W7nnjhxKkoOO3bLkkd2lQvpHtIpovVstksOMfPWaM9bvKfds5SBjOkaqrTtjLy+dk86hfF6hzKOXg57fmvdEuYfsUz6vtGvf01wq1CtchsJKDp48ZuSr15yxfo/s6cmhnDuaXl/vUT7vkCUn2beMkmfOKNZeOlbbte9pLhXqFS5LYSWPXi4z8tV7e9b3zInSe1vrt8ZmKPdZtW+L5CB56Gf9fgVr71qssnPv0u79T3GpUK9w3vHWnFE8e83KRe+t1y/f6xittn75Xo/NUu6j99bvVyvzKGMla/8yVtq5dylDDie4VKhXOO94a84onr1m5aL39sYM1j4SK5X76md5t0OZR6Zc8B818blUqFe41riMteaM1tprdi56fR2rZc1BAsAYl9PUO2S1cXlfxmytfVbmsVOW/1PnkSEf4G0uJ6p30KxxeVeLmVp7rNg/g6/8n/CTnjg1YLtUplcwa1ze6ffWuxlW7AFE6f4n4gHbpTK9glnjtW/kvTU2irW+3pcgvhp4n8uvGv2xdYO0YhZrfb0vQewMYKRHHWU1aCtmmLk2EKX7nb7EaLc7KtKYnjl3ePcHVtE9SV9itFsdFW1K77yoWesCd0lP6gBGCXfTnWaMzPWK5gDMpntSBzDKowvb6843PdE1o/MBL91btQBGWNZJIxs3ehD0/Mh3gEfZV9bf8gw8cWQXRQ6BnqsDGMHqqd4zcNdRXSSNHzkA5Xz9LO+Au6w+Kt9Zc4A7jugiaXgdHrX5tfdAVKu/hDUHuOOILpKGjzZ+65voWoAXvYVZ0nWVNLsVEb1vW2PAE/QVZjnmwo7qfd8aA56grzDL67pKX8Q6gFXoOczy6gtbPwOr0HOY5bUXtuDwYDV6DrO8vqs4PFiNnsMsXNjAYN6ek3n0J7y4sIHBaj0n760APLiwgcFqPSfvawH0cGF3cJgQ1eoZa6w1H9Be3yVPDoN8y2FCRKtnrDF5V/sGEK/vkLsHQR+iO9/ju1o9Y43Ju9o3gHh9h9w9CPoQ3fke39XqmdpY6xtAvL5D7hwE+UYH4NXqmdpY6xtAvL5DogdB5pcBeLV6phyT5/I9YHl9h0QOgnVwIt8Df7V6RsZqAbS8vkMiB8E6OJHvgb9aPSNjrQBqXt8d3kNQOzDe7wFR6xl57wnA8vrO8B6A2jzv94C420sy3pqDb3t9Z3gOgZ5TC8Cr1jOeXvLMwXd9ojN6h0DGWwF41XrG00ueOfiuT3SGHILaQbg7BlhqPdPrJRlvzcG3faYzagehd0haY4Cl1jPle3kuA6j5THfUDkPvoPTGAS/dS60Aaj59YXsPiWcO0KP7TQfg9elu8R4YDhaADD55C8kF7L2IvfMAYKbPX9geXNgAMuAWcuDCBpABtxAAHIILGwAOwYUNAIfgwgaAQ3BhA8AhuLAB4BBc2ABwCC5sADgEFzYAHIILGwAOwYUNAEf4/f0D6prkO9ORRDAAAAAASUVORK5CYII= A B c.1 c.2 c.3 c.4 c.5 c.6 c.7 c.8 M.A 11 1 mat 7 l * q.0 * 8 / 17 l * q.0 * 8 / 7 l * q.0 * 8 / q.0 l 2 ^ * 4 / - 0 0 l q.0 * q.0 l 2 ^ * 2 / - q.0 l 3 ^ * 12 EI * / - 0 q.0 l 2 ^ * 4 / 11 1 sys 1 1 mat x l * Q.1 x l * Q.2 x l * M.1 x l * M.2 0.1328 q.0 * l 2 ^ *