Questão de Geometria 3 figuras planas Vunesp
2 participantes
Página 1 de 1
Questão de Geometria 3 figuras planas Vunesp
João é funcionário de uma empresa que monta estruturas metálicas. As peças para montagem das estruturas são obtidas a partir de recortes em uma chapa padrão de aço medindo 5 por 10 metros. Para atender um pedido, será necessário cortar dois tipos de peças com as seguintes medidas:
Sabendo-se que as peças não podem ser obtidas a partir de emendas de sobras e que cada chapa padrão é utilizada para fazer um único tipo de peça, então as quantidades máximas de peças do tipo 1 e do tipo 2 que podem ser obtidas a partir da chapa padrão são, respectivamente,
![Questão de Geometria 3 figuras planas Vunesp YfyIFAbK6apAAAAAElFTkSuQmCC](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAjkAAAFaCAIAAABzAdtTAAAgAElEQVR4nO2dv67jxtmHeRend8p1lWSKIIXtYmHAhsEg2IW/D/h2sQnoAGtgA6TgJfAKeAW8AF0Ae/asp2bNlq2+4s15PeY/UecMxRnpefArdnVGEimR82iGw5nkDAAAEDbJ0RsAAABwAVwFAAChg6sAACB0cBUAAIQOrgIAgNDBVQAAEDq4Ci7Qdd3pdLLWns/ntm1Pp9PRWwQADweugjW6rkueMcYkSVIUxdEbBQAPB66CNZqmyfP8fD5ba6uqqqqq7/ujNwoAHo74XDUMQ13XeZ7rj/2iKNq2dctUVZXnedM006dL5Tv90zAMeZ7neV7X9fRZ8oJT6roehmFUWDZPqvh1Zl+zKIqmaaYvW5ZlnudlWS7t1OzrbCkpnE6n6Zu6uz/71u4rF0Uhba8kSbIsQ2wA4IvIXNV1ndaGeZ5nWaY9VG5NKiabvbJyOp1m/9Q0jbxOmqbTZ6kapxhjuq5zC+sWzsrSZek1pa53zdH3vf5p9Ha6U7OkaeqWXykpbzp98fW3Pj9rXt8uz3P9BIwxFz8EAICLxOSqvu+lEszzXOtxaWZJzagGeoGr0jSVynrWMfKCMr5A6bpOyrtNKHGelJ/Vnots9uhl27aV3ayqSh+sqko3b9q+md0pa62UN8boxyUlp22+vu/lE5i+uLy17NFs00r+ZIxxd6TrurIsZ3cQAOBaYnJVURQigGlXlfzJGCP/vdZV1loxgZgmy7LRs2ZddT6f27aV6nhUsm1bqfrXq+mlqlzsq5sxDIPYS5s4o761JQEPwyC60gERS646P1t26ld5ax1kMXpreZYxZtrdp+9+0dkAAOtE46phGKSuHF2a0r9aa9Vh17pKWgBypUqq5pE/llwlklNXSYUuyhTfrF+1WneVqlfbarqpo+1fctXZGcgnH86Kq2Y3ePrWbmvv/PwrYfSgot8aTSsAeA3RuEqtsHT930XUIuMFRkw1po0VtzYfjcxectWor88ViVbTK+MLZuvxYRikTabb4PZMyufgduudV101ehcpmWWZ/T16HWv0U+DiW8+qffoRcVcWALyGyFylTY11VoZCCG7VKdW0XomZ7WeTF8yyzB04pyMIpH6fyknUtTJ8TsqPXlYe1CEbsuNuN5qYzL2otu4qVyfrYytGzaPpZy7qcodKXmw2yeUuXAUAryEyVyXJpg3WgQB2wrQPTapymZpBmA5hmJWfDJfXalovMk0bK0tNq1lhGGPKstQRd7LB8kaC1P6uvba0q+QFpWSaptLKLMtSdn92BOCWt77oKukkxFUA8BqicdXSsAKlrmutMbdfr9Kh6rOMLoCtX3SR5s4sW3rn1vd6Fm1abble5ZZ0L0r1fS9uHo2S12bi+lsvjZwcfSyMXAeA1xCNq87P1eLsZXxtdYnJtrtKSlZVNWp+SQ07KrYiFRkQmKbp7HWg0TUe5aKrVC2jl5XGiipnxVWjltDs2Aq9a81tSl711ktDSOw1VxkBAJaIyVXaBhr9SNex0VpjbnTVaIycy2gk3kVXLb2jDjefbVhcdJUoczr0Udtb7lWolRuc9RWW1DL9bJfaQ6O31h2cXpZTBS6NEgQA2EhMrjo/X0FJnsf4ScNFalX3Fp+NrloZ+zByzLqr1vsnp9d4lHVX6a1Ls391b85VA7nDHXVSj9nW0vQF9R61vu+3vLUOU1QnpWkqPbFt2+o3NepaBAB4AZG56nw+n04nHYCn5Hk+Hba37qqLt/5IbSuOWXeVzuww+1c12bR5tL4B2j85+1dtCfV9vzS6T+5unu7+7KbqWHkdjrj01noHtH7mXddNh58YYxhSAes0TTO6q6RtW+vcK7lUzGV6BvV9X9e1FpidYFORMrPzh23cAN0GOfL1WfJj2qVpGmvt0kX3YRjkjeR3Z13X186oecer9sTnKsFaK8di27bTr7PruqUDou97+ZPcPrzS/+YWkBdcOtxX3m69gLz+0suu/9UtIDvlsrQxUnLptBy9zpa3Hj1dThV3nAvACiu3lxRFMRrctIRbOw/DoG360S+n2WNSf3itL3az8TaYkauWfkQmv58oTgtPf4UnSVKW5caeCf39uqVwdNznXgFAFExvL6nrWjoqEqdlv3IXivvLTC9dy6TJfd9LA0tNM/2VprfzJ6u37cvPTd3CZHJDvTx31lXTvdMbRbSk+lUKD8PQtq1b8qKu6rpW1V3zDUTDfe4VAETBUnf9aKbNjbOfaDtm5CS3f9t9XPrn0zQVO66veqPI6NbZjvRZV0032/5+3LLu7FSl+qeVfddJtHEVAMAuLEloNNx0o6uksp5dgs5aWxTF6E86xeVoorV1Xu+q8++vVa/v3WhM8hS9CK17cXEXYuQ+9woAomCpmtYW0noxl1Fj5SLu8gUb38J9o9e4Si8sSUNqqVGlrM+66faC4ioAAP8sXa8a3bS3PrRBythrpgw9/34NgfNzb9uWp1/rqqW9k1cYzSwzi+z+lslfcBUAgH9WJOSOf9MREPkcUsY+r0K38a2nN9pvnA/sWlfNouMA7YaZTmX3Z/s21zfgnrjPvQKAKJgu3zN7B9JVfYBLBdxrUVp4ysWlQa91lbt3cjvHaO/kWStdlxdX3lnagHviPvcKAKJg41Wiq8ZWLC3HKh4SJegi46MmmtT161bwMrbCRUbxLRWz10yqiasAAPzj11Uyrk/Xfpv+SdpMK5OiSbGlOWgE767SKc2mm613jG0cT4+rAAD8c5Wrlu4F1maQDu1L01TuBT6fz33fSytKm1yn5ZnGtgwm9O6qszMbpzsdVNu2OtnpxqkrcBUAgH+uctUKWrLrutmV5EQDUmZl6YPzc4/cSjtmD1edn6cVnTKa7HQdXAUA4B+ZqvXiqIGLU8dOy7tXpNxJYGWu5xV/2OcJZ5cKyCusrPIzeqntc2PKK+vFM1lXb+NzhfUtjxpcBQB3iFwEks7Ao7cFPICrAODekEUSVFdHbw544E5cNV0UA27M+vI/ALdE5tATUc0OYYfoCNdVFy+iCn3fX7zuCreB/hYIB7u6pBxER9yuappmdnUyOJCNN4IAAGwnYld1Xaei+uqrP6R/+/uHj5/IIfmf//2/b779Tr+jex2JBABHEbGrtOvvm2+/+/Lv/5DD8+Hjp6enJ/lS6H4BAI+E6yphqihBZ0n545/+fHgdTTTp3/5O0woAvBOrq3Sxsnfvfz68giZu5HtZn1ENAOAqYnWVLgzz4eOnw2tn4uaPf/ozrgIAv+Aq4jm4CgC8g6uI5+Cq0OBOeTic188VgKuI5+CqcOi6jjvlIRBeOYcIriKeg6tuxkq9cD6f+77nTnkIjRdPbYOriOfgKi90XScLKU3R+wFWaoTz8xK3SZK8efP1Dz/+RMiB0bkCtq8bOQJXEc/BVV5YaRJtdJW8wldf/eHzr18OPyoI+eHHn+TgtFcuyvXfo93n6bUDuCq64KrXY61NkiTLsqtWLh+dJvLI27ffH35IEPLl3//58PHT6MfWVeAq4jm46vWIq7af0iuu+uHHnw4/JAj5gqtwVWjBVa9HphArimJjeVxFwg+uwlVhBVd5oaqqJEmqqtpyYwquIuEHV+GqsIKrvOAueTNieqrjKhJ+cBWuCiu4ygtpms6KCleRSIOrcFVYwVWvR65XZVm2cRkwXEXCD67CVWEFV70exgGS+wuuwlVhBVd5IUmSsiy3F8ZVJPDgKlwVVnCVF+QIr6rKWnvxjmBcRcIPrsJVYQVXeSFZhrEVJMbgKlwVVnCVF3AVubPgKlwVVnDV7cFVJPzgKlwVVnDV7cFVJPzgKlwVVnDV7cFVJPzgKlwVVnDV7cFVJPzgKlwVVnDV7cFVJPzgKlwVVnDV7cFVJPzgKlwVVnDV7cFVJPzgKlwVVnDVi+n7fjRLRdd1RVEYY4wxRVFYa2efiKtI+MFVuCqs4KoXI0e1CklmsB3RNM30ibiKhB9chavCCq56MSNXyRJWaZrWdd00TZ7ncsxPFwrBVST84CpcFVZw1YtxXdV1XZIkxhi3gCxsX9f16Im4ioQfXIWrwgquejGuq6QDsKoqt4Cswch8gCTG4CpcFVZw1YtxXTUMw/SsxlUk3uAqXBVWcNWLkaM6z/O6rq21RVGkaeoOC6QPkMQbXIWrwgquejF6VLuImfq+l6EWCWMrSJzBVbgqrOCq1zAMQ9u2p9Mpz3NjjJ7YOn6dMesk0uAqXBVWcJVH+r6XVlTf96fTadqiEnAVCT+4CleFFVx1e3AVCT+4CleFFVy1H13XWWu5XkViDK7CVWEFV+2HTl2RpmnXdfo4riLhB1fhqrCCq/ZDXFWWZVmWWZbp47iKhB9chavCCq66De59V7iKhB9chavCCq66PbiKhB9chavCCq66PSuuevv2+8MPCUK+4CpcFVpw1e1ZcdWbN18ffkgQ8uXf/3n3/mc5JpeWDL1wkHs6WfYCV0UXXHV7Zk+Toijkwb/85a8fPn4i5MC8e//z09OTHJBLt7RfOMg9nSx7gauiC656MbPzAU7RLpSVMufnFbAAgmK0zM12cBXxHFz1Ypqm2XK2b3TV+Xy21uqMtwCH82JRnXEV8R5c9RpEV6OlQJZYqRTcYtbaE8ChtG37sq6/34721zz5BuCq6IKrXoksUvWaX6AA9weuIp6Dq17JMAzGGGPMlqbVOkunD8AhvOaADP0gxlXRBVe9Hum1e2WfyRlXQWDgquMraKLBVeGwckEL4EBecjB7Pz38srRvuCrY4KpwOKYeArjESw5m76eHX5b2DVcFG1wVDsfUQwCXeMnB7P308MvSvuGqYIOrwuGYegjgEi85mL2fHn5Z2jdcFWxwVTi8pmoA8A6uOr6CJhpcFQ64CoICVx1fQRMNrgIA7+Aq4jm4CuKi73trrbX29Te0wX7gKuI5uApiYRiGPM/da/55nr9+uhDYA1xFPAdXQSzoTMF1Xdd1LXPSn160ai3sDa4inoOrIBZETl3XyX/7vhd1HbtVMAuuIp6DqyAWpA7Ry1TDMIweGZHneVVVbdsWRWGMybJMGmFt22ZZliSJMaYsS3oR9wBXEc/BVRALRVHIsdq2bdd1+t+l8mIjaXuJnKS8PK6XvsqyvOVePAi4ingOroKIKMvSHVtRFMVKq2ikorZt9VnuI/Qi7gGuIp6DqyAWZFlLkY00qpLVVS6lgLVW/qt9hm3bjsrsvumPR+ifKa6KLrgKoqDrOum7c69XSRef6x6XaV205RHwQuifKa6KLrgKokAaVaNWlFQsSxeccNWBhP6Z4qrogqsgCqTTb3Q3lQhs6ejFVQcS+meKq6ILroIokBuBjTF6f1XXddIHWNf17FNw1YGE/pniquiCqyAWdBBgnuc6Bj3LsqXyuOpAQv9McVV0wVUQEU3T6H1ReZ4vtaiEPM9HB/aWR8ALuIp4Dq4CAO/gKuI5uAoAvIOriOfgKgDwDq4inoOrAMA7uIp4Dq4CAO/gKuI5uAoAvIOriOfgKgDwDq4inoOrAMA7uIp4Dq4CAO/gKuI5uAoAvIOriOfgKgDwDq4inoOrAMA7uIp4Dq4CAO/gKuI5uAoAvIOriOfgKgDwDq4inoOrAMA7uIp4Dq4CAO/gKuI5uAoAvIOriOfgKgDwDq4inoOrAMA7uIp4Dq4CAO/gKuI5uAoAvIOriOfgKgDwDq4inoOrAMA7uIp4Dq4CAO/gKuI5uAoAvIOriOfgKgDwDq4inoOrAMA7uIp4Dq4CAO/gKuI5uAoAvIOriOfgKgDwDq4inoOrAMA7uIp4Dq4CAO/gKuI5uAoAvIOriOfgKgDwDq4inoOrAMA7uIp4Dq4CAO/gKuI5uAoAvIOriOfgKgDwDq4inoOrAMA7R7pqGAY7R9/3v20frootuAoAvHOYq9q2NcYkc5xOp9+2D1fFFlwFAN45zFVFUSRJkmVZPqFpmt+2D1fFFlwFAN45zFUiqi3FcFVcwVUA4J0jXVWW5ZZiuCqu4CoA8M5hrkrT1BhzsRiuii64CgC8c5irrLVJkqRpWlUV4wDvKbgKALxzmKu6rmMc4F0GVwGAdw5zVZZlSZIYYxgHeGfBVQDgnSPHVqRpuqUYrooruAoAvHOkq6qq2lIMV8UVXAUA3jnMVXmep2k6DMN6MVwVXXAVAHjnMFfVdZ0kSZZlp9OpaRrGAd5NcBUAeOfIPsAlGAcYdXAVAHjnyD7AJRgHGHVwFQB4h/WriOfgKhD6vl9f8WelmMvsK7dtezqd6rqeLaB0XWet7bru2u100ae7ddHskkYX30g2+3Q6WWsvXq1X9L3WX/++wVXEc3AVCHqSjjDGlGWpNfVSsdlz31ort2a6pGnatu3sNsiEA+u3x1zcAD2Y3e2RmXdmKYpiJJW+7/M8n5Z0P4dZhmEoy3Ljzt43uIp4Dq4CQU7SNE1PDrIYUOIsszBbzEVfsGkalYcMyKqqStU1rcG1fJIk7pWFEdZa9+2kvPuIPnfqquneqR1VQjpHjxS21tZ1rSWzLFvRlRjOGFNVVV3XurMP2MDCVcRzcBUIcpJOj4Su6+Tkle67pWIj+r7XtsjoT1qhjyp9eVxef8sKRMJshTP9k7hqutl934uE1HBpms42odRhS/uuH5TbcSo7tWWRijsDVxHPwVUgrEhI2gfSZtroKukKm22F9H2fpmlRFG6dLhW99P6JLdavbCmvdNX5eSFZ2Ttp2y3dS6o2mm0nWWvzPB9pSe72ecDzC1cRz8FVICxJSFtI0vLY6CrxjdsluI64zdVhURRbnvhKVw3DIK0leWvx1socPa7YtuBq/qHAVcRzcBUI2vnmjpRr21bnrZamhhSbncbavYPF7Ta8yDAMbu+Z2nE6CnHKVa4a7Z21Vi/IyXtJl93KaIirPCqttGlv5yNwgKuGYajrejQqJsuysiynRxKuii64CoSV8XXGGJXQ+jA8bUBc5SrpKHMFIArZvhb5xT+tjANMnItVUtGtbPbGZuXZ+aAYB3gLVpatGh3B/90+XBVbcBUISwP8mqZxmwUbK2upNza6SjoM0zTV9pk8sqVFcpWrZvduOhRiZRRiVVUXJToMg7jWGPOYojrf3lVywJVlOTrmuq6r61r+6n4ZuCq64CoQNkpoY7H1Cz9FUeR5LrVK27YrLZ6LV3quctXFzb6oIpHoisz6vpde0yzLHnCounJTV138dqddt7gquuAqEPy6Si/VTOvr0SB4Hao+KiYdg8aY9Tfy6yq9VDbbItRNWmrtaUdUURQPeI3K5aaukoNyvQ0rl1j1v7gquuAqEPy66uwsJu7WIdZa9y6llWEUOkJvpRFz9u2q83PTyhhT17W7MVqJuY+PNljvzbr4LnfPTV0lPyJW2uDTrx9XRRdcBcJVrlpBWyTDMLgTLOlVqMS570rEsDSsTgayr0+55N1VulWJM9xR92KlPpQKc5YHPL9u6ir5yWOMWZqPUg5E91cGroouuAqEpmnyPL+4/LcUW8Ht9JuOIh6tzOBeuJoi8/Lleb4yeF0KzP7JrYu6rtuyd4q1tixLV65VVa2Poa+qaukz2f6+d8Otx1boDF2j2ymmv4/+u324KrbgKrgBxphRrxrcNwfcX9V13XSmZLHX6XQaXT/EVdEFV8EN6LpOfuA+8tC4h+KweStGa8YsHXC4KrrgKtibR75s87AwxxLxHFwFuzIMQ9u2TdPQonoocBXxHFwFAN7BVcRzcBUAeOfW81acNuCON8VV0QVXAYB3DrgX+CLuzXG4KrrgKgDwzq37AOW+cRES7aq7DK4CAO8ccL3qqnUwcVV0wVUA4J0DXNX3vdxzvmXaYFwVXXAVAHjnmHGAMqPXlkXDcFV0wVUA4B3GrBPPwVUA4B1cRTwHVwGAd3AV8RxcBRcZhqFpmpU1L2BEVVVN0zzy0sC4ingOrnpYJrdKzp+8dV3L+rxwLcaY9UWN7xhcRTwHVz0sSzWsW0bvsIQX84ALLZ5xFfEeXPWwLNWtWkCXWk2S5Icff/rlX58PP1xjyS//+vz27ff66W0ZRH1n4CriObgKlk5b7fp79/7nww/UGPPu/c/yAaZpesg3eyC4ingOroLZ07ZtW3nwm2+/O/wojTfffPudfIzuXHSPAK4inoOrYPa05Zz1kg8fP8nHuHGaursBVxHPwVWw7qrDD9Go88u/PuOqEMFV0QVXAa7aNbgqRHBVdMFVgKt2Da4KEVwVXXAV4Kpdg6tCBFdFF1wFuGrX4KoQwVXRBVcBrto1uCpEcFV0wVWAq3YNrgoRXBVdcBXgql2Dq0IEV0UXXAW4atfgqhDBVdEFVwGu2jW4KkRwVXTBVYCrdg2uChFcFV1wFeCqXYOrQgRXRRdcBbhq1+CqEMFV0QVXAa7aNbgqRHBVdMFVgKt2Da4KEVwVXXAV4Kpdg6tCBFdFF1wFuGrX4KoQwVXRBVcBrto1uCpEcFV0wVWAq3YNrgoRXBVdcBXgql2Dq0IEV0UXXAW4atfgqhDBVdEFVwGu2jW4KkRwVXTBVYCrdg2uChFcFV1wFeCqXYOrQgRXRRdcBbhq1+CqEMFV0QVXAa7aNbgqRHBVdMFVgKt2Da4KEVwVXXAV4Kpdg6tCBFdFF1wFuGrX4KoQwVXRBVcBrto1uCpEcFV0wVWAq3YNrgoRXBVdcBXgql2Dq0IEV0UXXAW4atfgqhDBVdEFVwGu2jW4KkRwVXTBVfdN3/enOZqm0TK4atfgqhDBVdEFV90xbdsmC7jfOK7aNbgqRHBVdMFVd0yWZUmSFEVBu+rA4KoQwVXRBVfdMUmSpGm6pRiu2i+4KkRwVXTBVXdMmqa46vDgqhDBVdEFV90xVVUlSdK27XoxXLVrcFWI4KrogqvumGEY5JJVmqZVVXG96pDgqhDBVdEFV90x1lpjTDIH4wBvFlwVIrgquuCqO6YoiiRJsixjHOCBwVUhgquiC666Y4wxxpiLxXDVrsFVIYKroguuumPyPM+y7GIxXLVrcFWI4KrogqvuGDnv3O6+WXDVrsFVIYKroguuumOappGxFXmel2XJ9apDgqtCBFdFF1x1x+R5nizAOMCbBVeFCK6KLrjqjmmaZnaSddpVtwyuChFcFV1wFeCqXYOrQgRXRRdcBbhq1+CqEMFV0QVXAa7aNbgqRHBVdMFVgKt2Da4KEVwVXXAV4Kpdg6tCBFdFF1wFuGrX4KoQwVXRBVc9Dtbaruumj+OqXYOrQgRXRRdc9TgsfdG4atfgqhDBVdEFV90ZwzDYBZIkybJM/u02sHDVrsFVIYKroguuujPESRdhjqWbBVeFCK6KLrjqztB165MkGa1bnyRJmqbMsXTj4KoQwVXRBVfdH8MwlGUpZhr19XG96vbBVSGCq6ILrrpXdEEQbULhqkOCq0IEV0UXXHXHdF2XpmmSJGVZDsOAqw4JrgoRXBVdcNV9MwxDURRJkshFLFx1++CqEMFV0QVXPQJ1XcsJiKtuH1wVIrgquuCqB8FaOxr+p+CqXYOrQgRXRRdcBbhq1+CqEMFV0QVXAa7aNbgqRHBVdMFVgKt2Da4KEVwVXXAV4Kpdg6tCBFdFF1wFuGrX4KoQwVXRBVcBrto1uCpEcFV0wVWAq3YNrgoRXBVdcBXgql2Dq0IEV0UXXAW4atfgqhDBVdEFVwGu2jW4KkRwVXTBVYCrdg2uChFcFV1wFeCqXYOrQgRXRRdcBbhq1+CqEMFV0QVXAa7aNbgqRHBVdMFVgKt2Da4KEVwVXXAV4Kpdg6tCBFdFF1wFuGrX4KoQwVXRBVcBrto1uCpEcFV0wVWAq3YNrgoRXBVdcBXgql2Dq0IEV0UXXAW4atfgqhDBVdEFVwGu2jW4KkRwVXTBVYCrdg2uChFcFV1wFeCqXYOrQgRXRRdcBbhq1+CqEMFV0QVXAa7aNbgqRHBVdMFVgKt2Da4KEVwVXXAV4Kpdg6tCBFdFF1wFuGrX4KoQwVXRBVcBrto1uCpEcFV0wVWAq3YNrgoRXBVdcBXgql2Dq0IEV0UXXAW4atfgqhDBVdEFVwGu2i+ff/2Cq0IEV0UXXAXrrvrHP385/CiNNx8+fsJVIYKroguugtnTtmkaefCHH386/CiNN2/ffi8fo7X2qO/3EHAV8ZyvvvoDrnpwZk/bYRiMMUmSPD090bR6Wf7xz1/kgzXGHPXlHkWsrrLWyuPffPvd4QcQ0WgHRVmWhxwwEAIXf2I+PT29e//z4YdrXHn3/uenp6fH7AA8x+uq8/mcpind30Hl869f3rz5+jE7KODsnK0j3DJ5nuvjT09Pf/zTn8mWqKUe9odgxK6q61qP+PRvf//865fDK+tHzoePn1RUdAA+JltcNQxDVVVLJeEiVVUd9f0eS8SuOp/PZVm63+KbN18f/vPnMeP+6DPG9H1/4+MEQmCpep2W7Pu+qqocrqGqqkc+s8J11cbjXnvAIQTyPH/k0wkAdiJ6V53P577v67o++kfPo1NVFdeoYIX1sxi285gfY7h7u91VABA+nMW+eMyP8bH2FgCO4iV9yrDK0V/pTXmsvQWAozi6Yr9Djv5Kb0qse/uwX1j48NXALLetxh+Co7/SmxLr3j7sFxY+fDUwCweGLx7zY4x1bznug4WvBmbhwPDFY36Mse7tSxvNcFOOPkwgIDgwfPGYH2Ose3vzWhdewtGHCQDcCbHWJkdXwrCJow8TgHnqun7AqcqjJtbahAoxWPhqIHB0YrajNwSuINZviwoxWPhqIGR06TuOz7iI9duiQgwWvhoIFlmbWJYn3n58DsMweqTrOuZovjHUJgDwKGRZliRJ27YXXZXneZIkTdPomq5Zlg3DcDqdVHVpmnZdd7ONf3BwFQA8BLLGowyp2OgqUVRVVWIssVSapqfTSR7JWVb0VuAqALh/pC2latnoKl0tvus6eYo+MgwDHd23hA96X/TXmQuDZQFuSdd1cplKrzxtdJW7JJs8pW3b0SM7bTOM4IPeF+k0GC1L2DTN0dsF8EDIZarT6WSfEc1Ya5cuOImr3IG1R1oAAAF4SURBVAEUUzPhqlvCB70j0m+QZdnRGwLw0Ez7NpSlC07iqumLrD8C+8EHvSNN0yRJUlXV9vJ5nltrq6rKsizLsrIs+77v+74syzRNsyyr65rBsgBXcZqgvfFLnRy4KjT4oHdExh2VZSnjiNI0FfcslZdTSLoNpddC/qGPyD+MMbfcC4D7Y+P1qvWn4Kpbwge9Izqwwhijd2kYY5a6yNVVUkDuWxw9Iq/jXvIFgGvBVdHBB70jejuh/LfrOmktpWk6W15c5Y4SLIoicYbJnueGJwHAtUhP4EqBpmlGBaZPufgi4BFcdVP0hvnZnkBxVV3Xo0fcYbK4CgAeEFx1a3Sw7PRPYib3T9NHcBUAPCC4ai+6rkvT1L398Oy0q6azYZ5xFQDAArhqL3RkhPZo930vplm6pQNXAQDMgqt2RO6vksEU7pjApWHruAoAYBZctS/WWhnLJ8Yqy3K290+Qe4HdEe3TR6qqGj0CAHD34CoAAAgdXAUAAKHz/yfyIFAbK6apAAAAAElFTkSuQmCC)
(A) 2 e 2.
(B) 3 e 2.
(C) 3 e 3.
(D) 4 e 2.
(E) 4 e 3
Sabendo-se que as peças não podem ser obtidas a partir de emendas de sobras e que cada chapa padrão é utilizada para fazer um único tipo de peça, então as quantidades máximas de peças do tipo 1 e do tipo 2 que podem ser obtidas a partir da chapa padrão são, respectivamente,
(A) 2 e 2.
(B) 3 e 2.
(C) 3 e 3.
(D) 4 e 2.
(E) 4 e 3
liviacandido- Padawan
- Mensagens : 82
Data de inscrição : 04/03/2014
Idade : 43
Localização : são paulo
Re: Questão de Geometria 3 figuras planas Vunesp
Alternativa B ---> Basta sobrepor para ver
Elcioschin- Grande Mestre
- Mensagens : 72227
Data de inscrição : 15/09/2009
Idade : 77
Localização : Santos/SP
Re: Questão de Geometria 3 figuras planas Vunesp
não enendi, como sobrepor?
liviacandido- Padawan
- Mensagens : 82
Data de inscrição : 04/03/2014
Idade : 43
Localização : são paulo
Re: Questão de Geometria 3 figuras planas Vunesp
Desenhe a chapa padrão em escala, duas vezes
Desenhe a peça Tipo 1 dentro da 1ª chapa padrão, uma ao lado da outra. Quantas peças cabem?
Idem para a peça Tipo 2 dentro da 2ª chapa padrão.
Desenhe a peça Tipo 1 dentro da 1ª chapa padrão, uma ao lado da outra. Quantas peças cabem?
Idem para a peça Tipo 2 dentro da 2ª chapa padrão.
Elcioschin- Grande Mestre
- Mensagens : 72227
Data de inscrição : 15/09/2009
Idade : 77
Localização : Santos/SP
![-](https://2img.net/i/empty.gif)
» Questão Área de Figuras Planas
» Figuras planas.
» área de figuras planas
» Áreas de figuras planas.
» área de figuras planas
» Figuras planas.
» área de figuras planas
» Áreas de figuras planas.
» área de figuras planas
Página 1 de 1
Permissões neste sub-fórum
Não podes responder a tópicos
|
|